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Record W2926497130 · doi:10.17730/0888-4552.41.2.40

From Bean to Bar: Cultural Esteem and Healing through Chocolate

2019· article· en· W2926497130 on OpenAlex

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

VenuePracticing Anthropology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownMeaning (existential)SociologySocial capitalPopulationJob creationPerspective (graphical)ClothingWork (physics)Public relationsAestheticsMarketingPolitical scienceBusinessSocial sciencePsychologyLawHistoryEconomicsVisual arts

Abstract

fetched live from OpenAlex

Abstract In this paper, we describe a business with cultural purpose. East Vancouver Roasters (EVR) engages women recovering from addiction and trauma in the creation of chocolate from raw cocoa beans in Canada's most demonized community: Vancouver's Downtown Eastside. The initiative has a number of goals. First, it is designed to reach a population with innovative, low-barrier employment. Second, it seeks to create a viable business with social conscience (a social enterprise). Third, its wider cultural goal is to generate social and economic capital intended to bolster community esteem. Finally, EVR presents opportunities to learn from women with psycho-spiritual pain about the meaning of work and barriers to employment. We share our stories here to describe a social enterprise from the perspective of social actors involved in its creation and operation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.421
Teacher spread0.375 · 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