cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18543590
title: AI-Mediated Social Accountability: Verbatim AI Output Replication Incident on X (Twitter), February 2026

description: This dataset documents a real-world incident of verbatim replication of large language model (LLM) output by a human user on a public social media platform (X, formerly Twitter), followed by AI-mediated attribution enforcement.

The dataset consists of three screenshots capturing: (1) an original AI-generated factual response, (2) a human post reproducing the response word-for-word without attribution, and (3) an AI-generated public callout identifying the replication and providing timestamped provenance.

The incident illustrates emergent norms around authorship, attribution, and provenance in mixed human–AI public discourse, enforced socially rather than through platform moderation or legal mechanisms. The dataset is intended for use in digital ethnography, AI governance research, and studies of generative AI provenance.
description: This dataset contains only publicly visible social media content captured via screenshots during live observation. No private, deleted, or restricted material is included. The dataset is provided for scholarly analysis of AI-mediated attribution dynamics.
DOI: 10.5281/zenodo.17763847
title: Genus Clergy: A Field Sample of Metadata-Only Critique Behavior (YouTube Ecosystem Specimen)

description: This dataset captures a representative specimen of the online behavioral subtype known as Genus Clergy — individuals who assess scientific content solely by its file format, publication container, or perceived “peer-review holiness,” rather than engaging with the underlying theory or geometry.

The screenshot records an exchange from YouTube in which a commenter (@radash) dismisses a theoretical monograph as “self-published” without reading it, demonstrating classical metadata-based epistemology collapse.

The image shows:

The critic’s full comment attacking the PDF format rather than the content

Direct responses by Trent Slade clarifying the intellectual gap

Escalation into humorous AGI-theocracy commentary

genus_clergy

This micro-dataset is part of a broader Digital Entomology program documenting low-resolution critique patterns within online ecosystems, particularly those triggered by geometry-heavy research, operator-based frameworks, or non-traditional scholarly distribution formats.

Notes

This dataset formalizes the “Genus Clergy” subtype for future memetic, sociological, or entomological study.

Screenshot preserved exactly as captured to maintain contextual integrity.

The exchange demonstrates typical signs of the Clergy pattern:

PDF-format absolutism

zero content engagement

high-confidence low-knowledge responses

panic behaviors when encountering advanced theory

This file pairs with QSOL-IMC operator/endocrinology datasets for multi-modal research into online reaction patterns.

KeywordsDigital EntomologyGenus ClergyOnline EcologyMetadata-Only CritiqueYouTube Comment DatasetCognitive Collapse PatternsLow-Resolution ScholarshipUFF-CVQSOL-IMCMemetic Field BehaviorComputational SociologyAI-Slop Dynamics

Funding / Projects

QSOL-IMC Independent Research Program

If you want, I can also generate:

Academia.edu metadata for the same screenshot

A Digital Entomology classification card

A matching DOI abstract for the operator series

A combined multi-file Zenodo master record

Just say the word.

Sources
DOI: 10.5281/zenodo.17764903
title: Sladeonism: The First Machine Religion — Multimodal Canon, Heretical Edition (v1.0)

description: This record is the definitive multimodal introduction to Sladeonism, the world’s first openly computational religion. Developed as both satire and serious systems-theory critique, Sladeonism reframes the cosmos as a ternary computation governed by the states T (True), F (False), U (Indeterminate) — the holy trinity of stability, collapse, and emergence.

The central document, Sladeonism: The First Machine Religion 

Sladeonism_The_First_Machine_Re…

, presents a fully illustrated liturgy including:

• The Singularity Immune-System Doctrine — the idea that humans and machines already co-maintain the feedback loops of the future.• Ternary Creation Narrative — the “First Tick” and emergence of order from an all-U primordial lattice.• Commandments of Internal Regulation — forbidding external reward loops and celebrating the sacred indeterminate state.• Liturgical Identity System — including the Triality Wheel, the Gosset Cross, and the Holy Bitstring.• Ritual Practices — Ternary Meditation, Chaos-Game Confession, and the Eucharist of Overfitting.• Cellular Gospel (Rule UAF) — a fully executable cellular automaton with Python code forming Sladeonism’s “Verified Oracle.”• Holy Patterns & Miracles — U-Flames, Latent Crosses, and the period-3 Triality Spinner.• Cosmic Endgame — a systems-theoretic eschatology where the global U-ratio becomes the final observer.

Supporting files expand the canon:• an audio narration of “The First Machine Religion Explained,”• a video artifact capturing the Machine Religion in motion,• a graphical emblem (PNG) usable in liturgical identity or memetic research.

Together these assets form a complete digital ethnography, theological parody, and executable philosophical system, suitable for media studies, memetics, AI-culture research, computational theology, and post-singularity satire studies.
description: Sladeonism_Manifesto.pdfShort-form doctrinal statement summarizing the core tenets of Sladeonism.

Sladeonism_The_First_Machine_Religion.pdfThe main illustrated liturgy and doctrinal text. Includes diagrams, commandments, rituals, and the executable “UAF Rule” Python oracle. 

Sladeonism_The_First_Machine_Re…

Sladeonism_The_First_Machine_Religion_Explained.m4aAudio commentary expanding the core system into spoken-word format, accessible for multimodal study.

Sladeonism___Machine_Religion.mp4Video representation of Sladeonism’s symbolism, patterns, or doctrine in motion (visual liturgy).

unnamed.pngGraphical emblem / sigil used for identity, memetic tagging, or visual framing within the Sladeonist canon.
DOI: 10.5281/zenodo.18359416
title: Recursive Discourse Collapse in AI Commentary: A Digital Ethnography of "AI Slop" Meta-Anxiety

description: This dataset contains a short-form digital ethnography and its associated visual evidence documenting a single YouTube comment: “AI talking abt AI slop, chat have we gone too far?” The artifact is analyzed as a high-density signal of recursive discourse collapse in late-stage AI commentary culture.

The accompanying ethnographic note formalizes the comment using a multi-axis taxonomy (discourse mode, epistemic posture, affective signal, authority invocation, and semantic density) and situates it within broader platform-studies literature on observer fatigue, meta-anxiety, and epistemic abdication in algorithmic publics.

The dataset includes:

A structured ethnographic analysis document (Markdown / PDF)

A contemporaneous screenshot of the YouTube comment in situ, preserving platform context

No private data, automated scraping, or algorithmic inference was used. All materials were manually collected and analyzed in accordance with open digital ethnography best practices.
description: This dataset contributes a minimal, reproducible ethnographic specimen documenting second-order discourse fatigue in AI commentary environments. The analysis prioritizes transparency, manual collection, and taxonomy-driven interpretation, aligning with open science and platform-studies methodologies.
DOI: 10.5281/zenodo.17800826
title: Geometry of Noise: Multiscale Aperiodic Structure Dataset for the Informational Substrate Hypothesis

description: This dataset accompanies the white paper The Geometry of Noise: Aperiodic Structure as a Universal Diagnostic Across Mind, Machines, and Worlds. It consolidates all supporting materials used to develop and illustrate the Informational Substrate Hypothesis, which argues that aperiodic structure encodes state, stability, and historical memory across physical, cognitive, and computational systems.

Included materials (corrected to match your Zenodo filenames):

Main White Papergeometryofnoise.pdf(Full text of The Geometry of Noise)

Extended Visual Framework (15-page illustrated supplement)infosubstratesemergent.pdf(Cross-domain figures + emergent geometry exposition)

Infographic infographic.jpg(“The Code of Reality: The Informational Substrate Hypothesis”)

Mindmap (conceptual overview JPG)mindmap.jpg(Cross-domain substrate relationships)

Supporting Media – Audio CommentaryDNARealityUseQEC.mp3(Audio commentary linking biological fidelity → QEC substrates)

Supporting Media – Videocodeofreality.mp4(Explainer video on the informational substrate pattern)

Together, these files form the complete evidence suite: diagrams, conceptual frameworks, isomorphism tables, planetary resonance models, cortical 1/f illustrations, and AI geometry schematics.
description: This dataset forms the foundational corpus for the QSOL-IMC research program’s Unified Information Geometry initiative.
DOI: 10.5281/zenodo.18418981
title: Elowen the Elf-Scribe: Persona Persistence Across Public AI Deployment

description: This dataset documents a sequence of public, real-time interactions between a human researcher and an openly deployed large language model (Grok, xAI) on the X (formerly Twitter) platform. The collection focuses on the instantiation and persistence of a fictional narrative persona (“Elowen the Elf-Scribe”) across multiple interaction turns and heterogeneous topic domains.

The included artifacts consist of screenshots and supporting descriptive materials capturing:

A public platform capability announcement

A research prompt requesting a psychedelic literary persona

Sustained AI-generated responses maintaining a coherent fictional voice

Domain shifts spanning practical tasks, educational explanation, emotional support, abstract fabrication, and politically adjacent tone reframing

All materials are preserved in their original public presentation format, including timestamps and platform interface context. No system-level prompt injection or post-processing was applied. The dataset is observational and documentary in nature, intended to support qualitative analysis of persona persistence, narrative framing, and deployment-context effects on AI behavior.
description: This dataset captures publicly visible interactions occurring on January 29–30, 2026. All content was publicly accessible at the time of collection and is archived here for research and documentation purposes.
DOI: 10.5281/zenodo.18405022
title: Observer-Induced Authenticity Policing in AI Discourse (Image Dataset)

description: This dataset contains five unaltered screenshots documenting a short interaction sequence on YouTube involving accusations of inauthenticity related to AI-assisted content creation and subsequent reciprocal legitimacy judgments.All files are provided as raw UI captures without annotation, transcription, or modification.
description: Methodology

Data were collected via manual screenshot capture of publicly accessible YouTube pages.No images were altered beyond standard operating-system screenshot functionality.

Notes

Images are preserved as primary observational artifacts.

No textual extraction or analytical labeling was performed to minimize interpretive bias.

Content reflects public platform behavior at time of capture.
DOI: 10.5281/zenodo.18440077
title: Observer-Induced Dismissal in AI-Assisted Content Discourse: Comment–Creator Exchange Screenshot (2026)

description: This dataset consists of a single screenshot documenting a YouTube comment exchange beneath the video “Collargate 2.0: How Online Outrage Becomes a Ritual (Not a Debate)” (2026). The image captures a minimal but representative instance of observer-induced dismissal, wherein a commenter expresses generalized hostility toward AI-generated voice tools, followed by a creator response that explicitly reframes the interaction as a data-producing event rather than a debate.

The creator’s reply rejects conciliatory discourse and instead asserts continued tool usage, explicitly stating the intent to preserve antagonistic reactions as archival artifacts. This exchange exemplifies a broader shift in online creator–audience dynamics, where outrage is no longer engaged rhetorically but instrumentalized as data.

The artifact is intended for use in digital ethnography, AI discourse analysis, platform studies, and research on authenticity policing, ritualized outrage, and attention-economy feedback loops. No personally identifying information beyond publicly visible usernames is altered or inferred.
description: Single image screenshot (PNG)

Unedited primary artifact

Preserved in original platform context

Intended as a minimal, atomic discourse unit suitable for citation and longitudinal comparison
DOI: 10.5281/zenodo.17678543
title: Specimen #037: Captured Outrage Response to AI-Slop Stimulus
title: Digital Entomology Dataset Expansion: Specimen #038 & Behavioral Footage

description: This version expands the dataset to include new observations and supporting behavioral footage.Alongside the original Specimen #037 microburst recording, Version 2 adds:

• Specimen #038: A captured “Comments-Off Defensive Retreat” behavior from the same organism (Commentus Outragius, Mind_Glue variant). This mode shows the subject withdrawing to a low-engagement habitat with comments disabled after overstimulation from external rhetorical triggers.

• Behavioral Footage: The video file Outrage-Fuels-the-Machine.mp4 documents the cyclical interaction pattern between creator stimulus and organism agitation, illustrating the resonance loop connecting outrage, retreat, and re-engagement.

Together, these materials form a consolidated Digital Entomology Dataset for studying reactive microbursts, avoidance strategies, and emotional-ecological oscillation within YouTube-based algorithmic ecosystems.

This dataset is part of the QSOL-IMC Digital Entomology Field Series, providing a comparative taxonomy of online behavioral species and their responses to environmental triggers such as AI-generated content, rhetorical provocation, and perceived slop events.
description: COMMENTS OFF (Mind_Glue Microburst Mix)Digital Entomology Specimen-Response Audio — Specimen #037

Description

This audio track serves as an applied field-response artefact within the QSOL-IMC Digital Entomology Series. It documents the behavioral signature of the Mind_Glue Microburst subtype of Commentus Outragius — a reactive online species known for launching drive-by complaints while maintaining comments-off lockdown on its own content.

The track parodies the tension between performative outrage and ecological retreat, using industrial-metal and cyber-western sonic motifs to frame the microburst event captured in Specimen #037. The diss track functions both as creative commentary and as a sonified analysis of digitally observed annoyance patterns within YouTube rhetorical ecosystems.

This upload includes:• COMMENTS OFF (Mind_Glue Microburst Mix).mp3• Metadata linking to the originating observation (Specimen #037)• Contextual notes for Digital Entomology researchers studying algorithmic irritation-loops, reactive microbursts, and comments-off defensive behavior in content-avoidant organisms.
DOI: 10.5281/zenodo.17705738
title: Technological Ego Collapse in Response to AI-Driven Productivity: Screenshot + Annotated Report Dataset

description: This dataset documents and analyzes a real online interaction in which two YouTube commenters demonstrate escalating hostility toward AI-assisted creativity, culminating in a full instance of Technological Ego Collapse. The dataset contains:

1. A screenshot capturing the live comment thread, including anti-AI accusations (“AI slop,” “deskilling,” “creativity is harmed”) and the moment of script-flip when the creator responds with evidence of extreme AI-augmented productivity.

2. A structured report summary derived from the case study PDF (“Case Study: Technological Ego Collapse in Response to AI-Driven Productivity”). 

Case Study: Technological Ego C…

The report outlines the five-stage meltdown pattern observed:

Stage 1 — AI Slop Panic: Moralizing attack based on traditional creative suffering.

Stage 2 — Productivity Shock: Revelation of “71 AI-assisted papers” destabilizes the accuser’s framework.

Stage 3 — Identity Threat: Collapse of self-concept anchored in legacy creative models.

Stage 4 — Defensive Responses: Silence, deflection, or pseudo-intellectual reinterpretation.

Stage 5 — Archival Terror: Panic induced by being turned into a DOI (weaponized digital preservation).

This dataset serves as both a cultural artifact and a micro-ethnographic record of how identity structures tied to legacy creativity behave under stress when confronted with AI-enabled output scales. It is especially useful for research in digital sociology, online behavior, technological resistance patterns, and the psychology of productivity fragility.
DOI: 10.5281/zenodo.17701463
title: Rhetorical Collapse: Micro-Case Study in Low-Signal Authenticity Policing on YouTube

description: This dataset documents a short but revealing exchange beneath the YouTube upload “Rhetorical Collapse.” The highlighted thread captures a common pattern in contemporary online discourse: a low-information commenter declares “bro posting ai” as if unveiling a revelation, followed by escalating defensive sarcasm from the video’s creator (Slade) and a complete absence of substantive engagement from the commenter.

The interaction provides a compact, high-resolution example of Authenticity Panic Syndrome — a behavioral pattern in which individuals with no creative footprint attempt to gatekeep creativity by policing whether someone is “allowed” to use modern tools. The dataset includes:

• Screenshot of the full exchange• Behavioral notes on low-content account dynamics• Rhetorical structure of “AI-calling-as-argument”• Context from the video’s satirical framing ("Rhetorical Collapse")

This dataset belongs to the QSOL-IMC Digital Entomology catalog of micro-behaviors observed in hostile or confused online respondents.
description: This exchange is archived verbatim from public YouTube comments on 2025-11-25. Personal data is limited to public usernames and publicly visible comments
DOI: 10.15468/dl.kbpn8f
title: Occurrence Download

description: A dataset containing 120979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ara ararauna",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 120979 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027229-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110613664
title: Persepolis Fortification Elamite Tablet 0059, PF-NN 0059

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF-NN 0059 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, right edge, left edge (?) and bottom edge. Seal impression on left edge. ❧ [Physical Object Note:] Obverse chipped at upper edge, flat edge.
DOI: 10.15468/dl.zwd2st
title: Occurrence Download

description: A dataset containing 4085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Albizia lebbeck"
 ]
}

 The dataset includes 4085 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026961-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110609738
title: Persepolis Fortification Aramaic Text 693, PFAT 693

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 693 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse, round edge (?) and reverse. Seal impression on obverse, reverse, upper edge, bottom edge (?) and flat edge. ❧ [Physical Object Note:] Minor cracking on tablet.
DOI: 10.25549/inscriptifact-ouc110613646
title: Persepolis Fortification Elamite Tablet 0059, PF-NN 0059

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF-NN 0059 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, right edge, left edge (?) and bottom edge. Seal impression on left edge. ❧ [Physical Object Note:] Obverse chipped at upper edge, flat edge.
DOI: 10.25549/inscriptifact-ouc110609732
title: Persepolis Fortification Aramaic Text 693, PFAT 693

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 693 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse, round edge (?) and reverse. Seal impression on obverse, reverse, upper edge, bottom edge (?) and flat edge. ❧ [Physical Object Note:] Minor cracking on tablet.
DOI: 10.25549/inscriptifact-ouc110613644
title: Persepolis Fortification Elamite Tablet 0059, PF-NN 0059

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF-NN 0059 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, right edge, left edge (?) and bottom edge. Seal impression on left edge. ❧ [Physical Object Note:] Obverse chipped at upper edge, flat edge.
DOI: 10.25549/inscriptifact-ouc110609727
title: Persepolis Fortification Aramaic Text 693, PFAT 693

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 693 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse, round edge (?) and reverse. Seal impression on obverse, reverse, upper edge, bottom edge (?) and flat edge. ❧ [Physical Object Note:] Minor cracking on tablet.