title: HfG-Archiv Ulm Online. De la realidad exclusiva a la virtualidad inclusiva

authors: Short, Carolina

subjects: Archive

abstract: The Archive of the School of Ulm (hfg-Archiv Ulm) began operating in 1987 by a group of alumni that, after the closure of the School (hfg - Hochschule für Gestaltung Ulm), saw the necessity to preserve the material concerning the projects produced during its operation between 1953 and 1968. It was founded as a public institution, sponsored by the Municipality of Ulm. Between 1999 and 2001 a project that would bring visibility and dissemination to the Archive was developed by creating a website. Its function was to bring towards a massive audience what was the hfg-Ulm, its influences, its legacy, and what happened today in connection with the history of the school and its protagonists.

text: HfG-Archiv Ulm Online. De la realidad exclusiva a la virtualidad inclusiva The Archive of the School of Ulm (hfg-Archiv Ulm) began operating in 1987 by a group of alumni that, after the closure of the School (hfg - Hochschule für Gestaltung Ulm), saw the necessity to preserve the material concerning the projects produced during its operation between 1953 and 1968. It was founded as a public institution, sponsored by the Municipality of Ulm. Between 1999 and 2001 a project that would bring visibility and dissemination to the Archive was developed by creating a website. Its function was to bring towards a massive audience what was the hfg-Ulm, its influences, its legacy, and what happened today in connection with the history of the school and its protagonists.

year: 2016

title: Classification

authors: Witten, Ian H.

subjects: computer science

abstract: In Classification learning, an algorithm is presented with a set of classified examples or ‘‘instances’’ from which it is expected to infer a way of classifying unseen instances into one of several ‘‘classes’’. Instances have a set of features or ‘‘attributes’’ whose values define that particular instance. Numeric prediction, or ‘‘regression,’’ is a variant of classification learning in which the class attribute is numeric rather than categorical. Classification learning is sometimes called supervised because the method operates under supervision by being provided with the actual outcome for each of the training instances. This contrasts with Data clustering (see entry Data Clustering), where the classes are not given, and with Association learning (see entry Association Learning), which seeks any association – not just one that predicts the class.

text: Classification In Classification learning, an algorithm is presented with a set of classified examples or ‘‘instances’’ from which it is expected to infer a way of classifying unseen instances into one of several ‘‘classes’’. Instances have a set of features or ‘‘attributes’’ whose values define that particular instance. Numeric prediction, or ‘‘regression,’’ is a variant of classification learning in which the class attribute is numeric rather than categorical. Classification learning is sometimes called supervised because the method operates under supervision by being provided with the actual outcome for each of the training instances. This contrasts with Data clustering (see entry Data Clustering), where the classes are not given, and with Association learning (see entry Association Learning), which seeks any association – not just one that predicts the class.

year: 2009

title: The Indigenous Exchange Forum: transitions in mine closure

authors: Holcombe, Sarah

abstract: “The Indigenous Exchange Forum: transitions in mine closure” was held on 2–3 November 2021 over Zoom, hosted by the Centre for Social Responsibility in Mining (CSRM) in the Sustainable Minerals Institute (SMI), at The University of Queensland.
The Forum aimed to affirm, connect, and elevate the voices of First Nations leaders and interested community members impacted by mining and mine closure. In doing so, we hoped to begin to build an international network across these Indigenous communities, to enable the sharing of experiences, struggles, and sentiments in relation to mine site transition and mine-related impacts on their lands.
The intent was to recognise each other’s unique cultural position and the impact of mining and mine closure through lessons learned: first with each other and then with industry.
The Forum had a strong foundation of reciprocity. The objective was:
•To provide an independent and culturally safe space to facilitate the connectionbetween First Nations peoples, whose customary lands have been impacted bymining.
•To position First Nations voices individually and collectively in a shared learningjourney full of experiences and lessons learned through online network exchange.
•To facilitate knowledge exchange and elevate the connectivity between Canadian,Australian, and Aotearoa (New Zealand) First Nations regarding impacts, issues, andinnovative ideas and practices in response to mine site transitions and mine closure.

text: The Indigenous Exchange Forum: transitions in mine closure “The Indigenous Exchange Forum: transitions in mine closure” was held on 2–3 November 2021 over Zoom, hosted by the Centre for Social Responsibility in Mining (CSRM) in the Sustainable Minerals Institute (SMI), at The University of Queensland.
The Forum aimed to affirm, connect, and elevate the voices of First Nations leaders and interested community members impacted by mining and mine closure. In doing so, we hoped to begin to build an international network across these Indigenous communities, to enable the sharing of experiences, struggles, and sentiments in relation to mine site transition and mine-related impacts on their lands.
The intent was to recognise each other’s unique cultural position and the impact of mining and mine closure through lessons learned: first with each other and then with industry.
The Forum had a strong foundation of reciprocity. The objective was:
•To provide an independent and culturally safe space to facilitate the connectionbetween First Nations peoples, whose customary lands have been impacted bymining.
•To position First Nations voices individually and collectively in a shared learningjourney full of experiences and lessons learned through online network exchange.
•To facilitate knowledge exchange and elevate the connectivity between Canadian,Australian, and Aotearoa (New Zealand) First Nations regarding impacts, issues, andinnovative ideas and practices in response to mine site transitions and mine closure.

year: 2022