MétaCan
Menu
Back to cohort
Record W4386588141 · doi:10.18357/tar141202321390

Stories of Sustenance, Nourishment, and Feasting

2023· article· en· W4386588141 on OpenAlexaffvenue
Guido Assunção Ribeiro

Bibliographic record

VenueThe Arbutus Review · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGrassrootsSociologySpace (punctuation)SustenancePublic relationsMutual aidPlacemakingPoliticsPolitical scienceEngineeringUrban planningComputer scienceCivil engineering

Abstract

fetched live from OpenAlex

This article describes community formed within the grassroots mutual aid organization Community Food Support (CFS) located on lək̓ʷəŋən territory (“Victoria, B.C.”) and explores how components of mutual aid frameworks are employed within CFS Delivery Program’s sorting space to support the building of this community. An experiential study was constructed using a feminist activist ethnographic approach to outline the crucial role of storytelling in the CFS community. Through a thematic analysis of the data, stories of place and care addressed the research questions and pointed to the importance of connection, relationships, education, sharing, and play in establishing a collective identity and sustaining the organizing space. These findings were connected to civic muscle and creative placemaking, which highlight the capacity for mutual aid efforts to promote change and actively shape social, political, and geographic space through creative and relational means.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.008
Scholarly communication0.0030.005
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.142
GPT teacher head0.487
Teacher spread0.345 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueThe Arbutus ReviewSame topicHomelessness and Social IssuesFrench-language works237,207