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Record W3017363699

Sustainability Education: Inclusive Lens for Global Economy-an ESRAP Panel

2019· article· en· W3017363699 on OpenAlex
Tara Konya, Anupama Pasricha, Rachel Eike, Virginia M. Noon, Connie Ulsewicz, Young A Lee, Danielle Sponder Testa, Erin M. Irick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSOPHIA (St. Catherine University) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityThrough-the-lens meteringLens (geology)Political scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

According to Henninger, Alevizou, and Oates (2016) fashion is subjective in nature. Thus, it is important to understand the definition and meaning of sustainability in the global marketplace. Additionally, consumers today have a growing awareness of practices that lead to sustainable living (Welters, 2015). Indeed, with an increased awareness of global concerns in the fashion industry through initiatives such as the UN’s Global Goals, Fashion Revolution, and the Copenhagen Fashion Summit there is a need to incorporate sustainability into apparel education programs.\nThe purpose of the proposed panel is to educate and increase awareness of the various global initiatives relative to sustainability in the apparel industry. In the U.S. we tend to teach in a microcosm, focusing on local or region-specific versus global needs. Thus, the objective of this panel is enhance the classroom experience through a cultural comparison of sustainable apparel practices throughout the globe.\nESRAP Panel: Rachel Eike, Erin Irick, Tara Konya, Young. A. Lee, Virginia Noon, Anupama Pasricha\nGuest Panelist:\nPanel Leader and Moderator: Tara Konya\nStructure: Panel discussion followed by audience engagement through open discussion or invitation\n1. Regions: In order to continue with this panel we will need to define regions. However, each macro-region could be broken down into micro subsections. For example, The US and Canada have a vastly different approach to sustainable. Similarly, the same can be said about Europe and Scandinavian Countries. North America Africa Asia Central America & the Caribbean Europe Oceania South America \n2. Key topics to discuss: According to the Copenhagen Fashion Summit and the Global Fashion Agenda (GFA) there are three core priorities for immediate implementation in the apparel industry: supply chain traceability efficient use of water, energy, and chemical respectful and secure work environments \nAdditionally, there are four transformational priorities for fundamental change: sustainable material mix closed-loops fashion system promotion of better wage systems the fourth industrial revolution. \nFor the purpose of this panel, we should focus on the four transformational change priorities, as the classroom is the first place to begin this change. Additionally, it is important to discuss the perceptions of each topic as well as region-specific issues related to each.\nNote: Each panelist identify a key topic area from the highlight transformational priorities list Identify a region that they will use to illustrate the topic area identified (example from that region based on their expertise and knowledge of the region) If you have other suggestions, feel free to add as comments. \nClaudia E. Henninger, Panayiota J. Alevizou, Caroline J. Oates, (2016) "What is sustainable fashion?", Journal of Fashion Marketing and Management: An International Journal, Vol. 20 Issue: 4, pp.400-416, https://doi.org/10.1108/JFMM-07-2015-0052\nWelters, L. (2015). The Fashion of Sustainability. In J. Hethorn & C. Ulasewicz (Eds.). Sustainable Fashion What’s Next?: A Conversation about Issues, Practices and Possibilities (pp. 4–26). London: Fairchild Books. Retrieved September 21 2018, from http://dx.doi.org/10.5040/9781501312250.ch-001\nO’Connor, T. (March 27, 2018) https://www.businessoffashion.com/articles/news-analysis/fashions-7-priorities-to-achieve-sustainability

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.217
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it