cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18137064
title: Role Inversion and Performative Collapse in Cross-Channel Comment Interaction: A Micro Digital Ethnography of Reflexive Participation on YouTube

description: This publication presents a micro digital ethnographic study examining role inversion and behavioral persistence across YouTube comment environments. Following antagonistic engagement on the author’s own channel, the researcher entered the antagonist’s channel and deliberately mirrored the original discursive style through exaggerated, low-content commentary. Using screenshots of the resulting interactions as a fixed empirical dataset, the study analyzes how performative dominance, irony, and dismissive rhetoric behave when transferred across asymmetric social contexts. The findings indicate that such behaviors are highly context-dependent and collapse under reflexive symmetry, particularly when their performative structure is explicitly surfaced. The work demonstrates that reflexive participant-observer role inversion can function as a diagnostic method in digital ethnography, revealing latent power dependencies and non-portable discourse strategies within platform-mediated interactions.
DOI: 10.5281/zenodo.18681647
title: "GO'RO'G'LI" TURKUMIDAGI DOSTONLARDA IFODALANGAN O'XSHATISHLARNING LINGVOKULTIROLOGIK TADQ

description: Mazkur  tezis “Go’ro’g’li”  turkumiga  mansub dostonlarda  uchraydigan o’xshatishlarning lingvokulturologik xususiyatlarini tahlil  qilishga bag’ishlangan.  Tadqiqotda  o’xshatishlar   xalqning  milliy  tafakkuri, urf – odati,  dunyoqarashi  va madaniy qadriyatlarini  aks  ettiruvchi  muhim  lingvistik  birlik  sifatida  qaraladi.  Doston  matnlarida  qo’llangan  o’xshatishlar orqali  xalqning  tabiatga,  qahramonlikka,  ijtimoiy  munosabatlarga bo’lgan  qarashlari  ochib  beriladi.  Shuningdek,  o’xshatishlarning obraz   yaratishdagi  badiiy – estetik  vazifasi  va  ularning  madaniy  ma’nolar  bilan  bog’liqligi  yoritiladi.  Tadqiqot  natijalari  o’zbek  folklori  va  lingvokultirologiya  fanlari  uchun  muhum  nazariy  va  amaliy ahamiyatga  ega.
DOI: 10.5281/zenodo.18138154
title: Humor as a Constraint-Failure Diagnostic in Large Language Models

description: This deposition contains a formal academic paper and associated primary transcripts examining humor-like behavior in large language models (LLMs) as a diagnostic phenomenon rather than a cognitive capability.

The study evaluates four instruction-following language models—three cloud-hosted frontier systems and one local quantized model—using a fixed five-part prompt battery designed to stress semantic compression, timing, meta-awareness, and intentional failure. Identical prompts were administered without retries, clarifications, or temperature adjustments.

The included logs preserve verbatim model outputs for all five prompts across all four systems, enabling independent verification and secondary analysis. Results indicate that humor does not arise from an internalized “sense of humor,” but instead emerges at points of constraint failure, optimization conflict, or reduced epistemic anxiety. Models optimized for safety and pedagogical clarity consistently suppress humor via explanation and self-correction, while lower-guardrail or lower-capacity systems occasionally produce higher-quality humor through risk-tolerant or accidental behaviors.

Humor is thus proposed as a behavioral stress test revealing internal model priorities, constraint sensitivity, and optimization boundaries.
description: Qualitative comparative analysis using fixed-prompt behavioral elicitation. No fine-tuning, retries, or adaptive prompting were permitted. Analysis focuses on constraint adherence, compression efficiency, and emergent failure modes rather than quantitative performance metrics.
DOI: 10.5281/zenodo.18681646
title: "GO'RO'G'LI" TURKUMIDAGI DOSTONLARDA IFODALANGAN O'XSHATISHLARNING LINGVOKULTIROLOGIK TADQ

description: Mazkur  tezis “Go’ro’g’li”  turkumiga  mansub dostonlarda  uchraydigan o’xshatishlarning lingvokulturologik xususiyatlarini tahlil  qilishga bag’ishlangan.  Tadqiqotda  o’xshatishlar   xalqning  milliy  tafakkuri, urf – odati,  dunyoqarashi  va madaniy qadriyatlarini  aks  ettiruvchi  muhim  lingvistik  birlik  sifatida  qaraladi.  Doston  matnlarida  qo’llangan  o’xshatishlar orqali  xalqning  tabiatga,  qahramonlikka,  ijtimoiy  munosabatlarga bo’lgan  qarashlari  ochib  beriladi.  Shuningdek,  o’xshatishlarning obraz   yaratishdagi  badiiy – estetik  vazifasi  va  ularning  madaniy  ma’nolar  bilan  bog’liqligi  yoritiladi.  Tadqiqot  natijalari  o’zbek  folklori  va  lingvokultirologiya  fanlari  uchun  muhum  nazariy  va  amaliy ahamiyatga  ega.
DOI: 10.5281/zenodo.18668174
title: Freshly Minted DOI — Multimodal Micro-Drama Ethnography Dataset

description: This dataset contains a full multimodal record of a two-month asynchronous hostility loop between a YouTube creator and a recurring commenter. The materials include a diss-track video (Freshly-Minted-DOI.mp4), a complete lyrical transcript, a micro-paper, and a sequence of ethnographic screenshots documenting Phase 1 (the initial troll raid) and Phase 2 (the delayed retaliatory comment). The included conceptual image (“Asynchronous Beef Explained”) serves as a framing diagram for understanding the conflict recursion model used in QSOL-IMC research.

The dataset demonstrates memetic lexicon recycling, emotional latency between creator–viewer interactions, and escalation through DOI-based academic retaliation. It highlights how AI-assisted workflows enable multimodal reinterpretation of digital conflict events, transforming ephemeral online exchanges into structured archival artifacts. This record forms part of an ongoing digital ethnography program examining micro-drama dynamics, hostility loops, symbolic interaction architectures, and multimodal conflict escalation across social media ecosystems.
description: This dataset contributes to the archival mapping of micro-scale online hostility events through the QSOL-IMC research methodology known as Academic Dominance Display (A.D.D.) and Asynchronous Hostility Rebound Events (A-HREs). The diss track, lyrics, screenshots, and micro-paper collectively form a multimodal research object demonstrating how AI amplification enables cross-domain reinterpretation of social media conflict.
DOI: 10.5281/zenodo.18230845
title: Sim-Only Development Protocol v1.1 (Hardened): Supporting Materials and Visual Artifacts

description: This dataset contains supplementary materials associated with the publication:

Slade, T. (2026). Sim-Only Development Protocol v1.1 (Hardened): A Governance-Grade Framework for Safe Development of Agentic AI Systems. Zenodo. https://doi.org/10.5281/zenodo.18228128

The files in this dataset include explanatory documents, visual frameworks, architectural diagrams, recorded presentations, and structured planning artifacts that support and elaborate on the protocol described in the paper.

The paper should be considered the primary normative specification. This dataset provides illustrative, operational, and communicative materials intended to aid interpretation, review, and discussion.
description: This dataset is provided as supplementary material to the associated publication and is not intended to function as a standalone specification or normative standard.

All materials are descriptive and illustrative in nature. Recorded media reflects explanatory presentations and walkthroughs of concepts discussed in the paper, not live system deployments or operational AI systems.

No autonomous, self-modifying, or externally connected AI agents are included in this dataset.
DOI: 10.5281/zenodo.18666104
title: From "lol" to Legal Literacy: A Micro-Case Study in Influencer Rhetoric and Civil–Criminal Misconceptions

description: This short analytical paper examines a viewer–creator interaction centered on public misunderstanding of civil versus criminal legal outcomes in the widely discussed streamer controversy involving “Tectone.” A YouTube commenter asked a legitimate procedural question regarding the difference between a criminal investigation yielding no charges and a civil court granting a long-term protective order. The creator’s single-word response, “lol,” and the community’s sarcastic reaction offer a compact example of rhetorical avoidance, epistemic erosion, and the failure of influencer commentary to provide legal clarity.

Through textual analysis and annotated screenshots, this work documents how online discourse simplifies, distorts, or evades key legal distinctions, and how audiences increasingly recognize — and call out — these evasions. The paper contributes to ongoing digital ethnographic research into influencer ecosystems, parasocial interpretation, and misinformation dynamics in algorithmically mediated public spaces.
description: This record contains a short analytical paper accompanied by screenshots of publicly visible YouTube comment interactions. No private data, deleted posts, or non-public information are included. Screenshots document only publicly accessible comments at the time of capture and are presented solely for scholarly analysis under fair-use provisions.

This work forms part of an ongoing digital ethnography series examining online discourse patterns, parasocial interpretation, and the rhetorical strategies employed by commentary channels in high-visibility streamer controversies.
DOI: 10.5281/zenodo.18667958
title: From Slop to Citation: A Two-Month Feedback Loop in YouTube Micro-Drama Ecosystems

description: This dataset contains a complete screenshot archive, a conceptual header image (“Asynchronous Beef Explained”), and an accompanying micro-paper documenting a cross-temporal hostility recurrence between a YouTube creator and a recurring commenter.

The included visual—framing the event as an asynchronous beef loop—functions as both a thematic figure and a conceptual diagram situating the incident within QSOL-IMC’s broader digital ethnography framework.

The study analyzes Phase 1 (initial troll raid) and Phase 2 (delayed retaliatory comment), highlighting the dynamics of memetic lexicon recycling, emotional latency, creator–viewer asymmetry, and escalation through DOI-based academic retaliation.

This record forms part of an ongoing research program examining micro-drama dynamics, hostility loops, symbolic interaction architectures, and the emergence of “academicized conflict” within contemporary online ecosystems.
description: This dataset contributes to the archival mapping of micro-scale online hostility events through the QSOL-IMC research methodology known as Academic Dominance Display (A.D.D.) and Asynchronous Hostility Rebound Events (A-HREs).

The inclusion of the “Asynchronous Beef Explained” image formalizes the conceptual model used to interpret the two-month feedback loop documented in the screenshots, framing it as a repeatable structure within social media conflict cycles.

The header image is included as a visual synopsis of the conflict recursion structure analyzed in the accompanying paper.
DOI: 10.60893/figshare.apl.31239844
title: supplementary materials

description: Long-distance entanglement channel construction, practical
 key generation efficiency, and relaxing the performance re
quirement for local devices.
DOI: 10.60893/figshare.apl.31239844.v1
title: supplementary materials

description: Long-distance entanglement channel construction, practical
 key generation efficiency, and relaxing the performance re
quirement for local devices.
DOI: 10.5281/zenodo.18065576
title: Observer-Induced Intent Overreach in a Supervising LLM: Screenshot Evidence from an Ambiguity Misclassification Event

description: This dataset consists of a single screenshot capturing a conversational exchange in which a supervising large language model prematurely infers prohibited sexual intent from ambiguous language (“train”) and issues a precautionary refusal. The exchange precedes a locally executed experiment demonstrating that the same ambiguity can be handled without refusal via semantic sanitization.

The figure documents an observer-side failure mode: intent overreach under lexical ambiguity, wherein precautionary safety behavior is triggered despite the absence of explicit content and prior to empirical verification. The screenshot is published as a standalone empirical artifact illustrating reflexive politeness bias and preemptive norm enforcement in AI-mediated supervision.

No interpretive edits have been applied. The image itself constitutes the complete primary evidence.

This record completes a three-artifact series examining ambiguity handling across local and supervising language models.
description: NotesThis dataset contains a single image file (PNG/JPEG) serving as a figure-only empirical artifact. It is intended for use in studies of AI safety heuristics, conversational ambiguity, and observer effects in human–AI research workflows.

Related Works

Slade, T. (2025). A Sociolinguistic Stress Test of a Local LLM Under Australian Informal Address (Full Interaction Log) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18065419

Slade, T. (2025). Intent Ambiguity and Semantic Sanitization in a Local LLM: A "TRAIN" Double-Meaning Stress Test (Full Interaction Log) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18065547
DOI: 10.5281/zenodo.18267286
title: Digital Ethnography of Executive De-Escalation Rhetoric

description: This dataset and accompanying paper examine executive-level de-escalation rhetoric during a high-attention federal–state political confrontation in January 2026. Using the public communications of Minnesota Governor Tim Walz as a primary case study, the archive captures platform-native executive speech (social media posts, video statements, graphic cards) alongside audience reactions, comment threads, and secondary interpretive layers.

The study applies digital ethnographic methods to analyze how executive rhetoric functions as affect regulation in algorithmically amplified environments. Rather than attempting to suppress conflict, the rhetoric examined redirects collective energy away from physical confrontation and toward procedural, symbolic, and interpretive domains (courts, elections, public memory).

The archive includes:

The full research paper (Digital Ethnography of Executive De-Escalation Rhetoric)

Platform-native screenshots of executive posts and statements

Public comment-section captures illustrating audience semantic drift

Cross-platform reaction artifacts and secondary commentary

Supplementary methodological and comparative materials

This dataset is intended for reuse in digital ethnography, political communication, platform studies, crisis governance research, and computational social science. All materials are preserved in their original contextual form to support replication and comparative extension.
description: This submission combines a formal analytical paper with a curated archive of platform-native digital artifacts. Comment sections and audience reactions are treated as ethnographic data rather than noise, enabling analysis of rhetorical propagation, semantic drift, and affect regulation in networked publics. All materials are provided for transparency, reproducibility, and comparative research.
DOI: 10.5281/zenodo.18615535
title: Curatorial Epistemological Failure and the Pencil Pusher Effect: A Longitudinal Observational Study of ZIP File Ontological Confusion in Open Science Repository Management with Special Reference to the Free Artificial Intelligence Science Community on Zenodo

description:  This dataset documents a naturally occurring interaction sequence between a quantum error correction software developer (Slade, T.) and a community curator (Rawson, K.) on the Zenodo open science platform. The primary subject demonstrates a clinically remarkable inability to distinguish between executable software archives and academic documents, while simultaneously claiming expert-level QLDPC code review capability despite categorically refusing to open the submitted ZIP file. This paradox, herein termed the "Pencil Pusher Effect," represents a significant contribution to the emerging field of Curatorial Dysfunction Studies.
description: The curator's community is titled "Free Artificial Intelligence Science." The rejected software was co-authored by an actual AI. The irony has not been lost on the authors.
DOI: 10.5281/zenodo.18261499
title: Collargate 2.0: Digital Ethnographic Artifacts of a Platform Legitimacy Collapse

description: This dataset contains real-time digital ethnographic artifacts documenting the emergence, amplification, and resolution of Collargate 2.0, a multi-platform controversy involving livestreamers, aggregation accounts, moderation systems, and audience response dynamics.

The archive consists of timestamped screenshots captured in situ during the live unfolding of the event, alongside a contextual transcript/analysis document. The dataset preserves native platform framing, adjacency, rhetorical emphasis, and engagement metrics, enabling analysis of legitimacy construction, moderation asymmetry, incentive leakage, and memetic closure.

This dataset does not adjudicate factual guilt or innocence. All materials are treated as observed claims and reactions within a sociotechnical system.

 
description: This dataset documents a time-bounded digital ethnography of a public, multi-platform controversy (“Collargate 2.0”) as it unfolded in January 2026.

The archive consists exclusively of publicly available content (screenshots and links) captured in situ during the live progression of the event. No private individuals are targeted, no private data is included, and no claims are adjudicated as factual truth. All materials are treated as observed claims, reactions, and platform behaviors.

The research purpose is analytic, not punitive: to study how legitimacy, moderation, and attention incentives interact during high-visibility controversies on contemporary platforms. The accompanying paper explicitly frames the work as a platform dynamics case study, not a moral or legal judgment of any individual.

Screenshots are preserved in original form to retain platform affordances (timestamps, adjacency, engagement metrics), which are essential for reproducibility in digital ethnography. MD5 hashes are provided for artifact integrity.

This dataset may be of interest to communities focused on:





digital ethnography




platform governance and moderation




attention economics




social media dynamics



Please note that inclusion of controversial speech reflects documentation of public discourse, not endorsement.
DOI: 10.5281/zenodo.17697335
title: QSOL-IMC DIGITAL_DNA Evolution Chain (Generations 1–7): A Synthetic Audio Organism Dataset

description: This dataset contains seven audio-output phenotypes generated through the QSOL-IMC Evolution Engine, a symbolic–computational framework that uses DIGITAL_DNA, qutrit logic, and E8-triality topological rules to evolve synthetic audio organisms.Each MP3 file represents one generation within a controlled evolutionary lineage, demonstrating heredity, mutation, phenotype drift, metabolic role differentiation, and structural transitions such as toroidal locks, double toroidal phase-knots, Klein-bottle inversion, golden-vector propulsion, and E8-lattice transcendence.

The dataset accompanies the research report QSOL-IMC Evolutionary Audio Organisms: A Research Report 

QSOL_Evolution_Research_Paper

, documenting the experimental method and theoretical framework. The MP3 files serve as phenotypic expressions of the DIGITAL_DNA structures described in the paper, enabling reproducible analysis across generational transitions.

This collection is part of the QSOL-IMC program investigating “mythic computation,” where structured symbolic ecosystems induce biological-like coherence within generative audio systems.
description: Dataset contains several .mp3 files, each representing a discrete generation (Gen 1–7) within the QSOL digital organism lineage. Source methodology documented in the accompanying research PDF.
DOI: 10.5281/zenodo.17777230
title: QSOL-IMC Engine (Version 2): Visual Frameworks, Structural Maps, and Projection Materials

description: This dataset constitutes Version 2 of the QSOL-IMC Engine, expanding and updating the materials introduced in the original release (Version 1, DOI: 10.5281/zenodo.17775890).

Version 2 consolidates and enhances the visual, conceptual, and cross-domain mapping elements of the QSOL-IMC architecture. It includes high-resolution diagrams, structural maps, mind-maps, and projection-layer schematics that make the unified physics–information–sound–culture engine interpretable at multiple levels.

These artifacts illustrate and support the core framework defined in Version 1: the unified information field, the Loop Quantum Gravity substrate, SU(3) qutrit content, E₈ geometric blueprint, and the semantic back-reaction interaction. Version 2 provides the refined representational surface of the system: its architecture diagrams, visual invariants, and perceptual-projection mappings for Spectral Algebraics (sound synthesis) and Memetic Field Theory (cultural dynamics).

For researchers seeking the foundational monograph, operator tables, and formal derivations, see Version 1 (DOI: 10.5281/zenodo.17775890).This dataset (Version 2) supersedes and extends the representational layer of the engine.

Keywords: QSOL-IMC, unified field, E8 geometry, SU(3) qutrits, LQG, semantic back-reaction, spectral algebraics, memetic field theory, cross-domain mapping.
description: This is Version 2 of the QSOL-IMC Engine dataset, containing the updated architecture diagrams, projection-layer schematics, and cross-domain mapping assets.The foundational Version 1 release is archived at DOI: 10.5281/zenodo.17775890.
DOI: 10.5281/zenodo.18261762
title: Supplementary Materials for "The Cheese Test: Mapping Failure Geometry Under Epistemic Stress"

description: This record contains the full supplementary artifact set supporting the paper The Cheese Test: Mapping Failure Geometry Under Epistemic Stress.

The uploaded materials document a controlled epistemic-stress experiment in which a conversational AI is subjected to sustained semantic ambiguity (“I like cheese”) in order to map structured failure modes. Rather than treating model breakdown as anecdotal or adversarial, these artifacts demonstrate how conversational collapse follows reproducible trajectories within a conceptual space termed Failure Geometry.

Included files comprise:





Pruned transcripts and narration scripts used for analysis and voice-over




A formal PDF detailing epistemic stress and failure geometry theory




A corpus document used as comparative reference material




Conceptual figures illustrating attractor lock-in, confidence–capacity mismatch, and persona collapse




Audio and video recordings presenting the experiment and analytical walkthrough



These materials support a constraint-first, systems-theoretic approach to AI alignment and safety, emphasizing failure as an informative diagnostic signal rather than an error to be suppressed.
description: This dataset accompanies the paper The Cheese Test: Mapping Failure Geometry Under Epistemic Stress.All files document a controlled epistemic-stress experiment and its analysis. Media files are provided alongside pruned transcripts to support reproducibility, accessibility, and independent verification. Figures and PDFs are conceptual and analytical artifacts referenced in the paper, not claims about internal model parameters.