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Record W7039305731

Locals Only: An incomplete glossary of sustenance

2017· other· en· W7039305731 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicEducation for Peace and Conflict Resolution
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationGovernment (linguistics)Work (physics)LimitingParaphernalia
DOInot available

Abstract

fetched live from OpenAlex

Commissioned by AKA Artist-Run and supported by the Canada Council for the Arts’ New Chapter initiative, Locals Only is a large-scale multi-year art project that explores food security, community led resource development, and intergenerational exchange in the core Saskatoon neighbourhood of Riversdale. As one of the oldest neighbourhoods in the city, Riversdale hosts some of the most diverse and culturally rich communities in the region, and yet is simultaneously facing unprecedented pressures from encroaching gentrification along with long-standing issues related to accessing locally-sourced sustenance. In response, Locals Only takes the form of a mobile food service that deploys socially engaged art, local knowledge, and long-form hospitality to cultivate a community-based exploration of reciprocity by redeploying symbolic representations of gentrification into the hands of longtime community residents.\n\nThrough a collaborative partnership with AKA Artist-Run and CHEP Good Food Inc., a 25-year old Riversdale-based organization with significant expertise in food-based community development through working with children, families and communities to improve access to good food and promoting food security, Locals Only will operate as an elder-guided, artist-designed, and youth-operated mobile programming space in the shape of a food service truck.\n\nLocals Only will also serve as a platform for intercultural dialogue and intergenerational capacity building by sharing traditional knowledge around food, hospitality, and community development from long-time Riversdale residents of Indigenous, Chinese, Ukrainian, Russian, and Francophone backgrounds. Importantly, this prioritisation of local history acts as a key instigator for intentional, yet immaterial, outcomes that result from the project in the form of empowerment, authorship, and securing visibility and verbal and visual space for marginalized residents.\n\nLocals Only is one of 200 exceptional projects funded through the Canada Council for the Arts’ New Chapter initiative. With this $35 million initiative, the Council supports the creation and sharing of the arts in communities across Canada. Locals Only was developed with preliminary research funding from the Saskatchewan Arts Board Artists in Communities grant. Thank you to Saskatoon residents, small businesses, artists and academics who generously gave of their time and knowledge in the first research stage of Locals Only. Locals Only is curated by Tarin Dehod, organized with Yvonne Hanson.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.951
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.008
Science and technology studies0.0050.004
Scholarly communication0.0060.009
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0630.030

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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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