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Record W4387382814 · doi:10.35588/rivar.v10i30.5907

Understanding the Sustainability Tripod in the Context of Local Markets

2022· article· en· W4387382814 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

VenueScientific Electronic Library Online (Scientific Electronic Library Online) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityProduct (mathematics)Context (archaeology)BusinessConsumption (sociology)Participant observationProduction (economics)Food marketEconomyEconomicsGeographySociology

Abstract

fetched live from OpenAlex

The crisis of the agri-food model opens space for discussion around food seeking more sustainable ways of production and consumption. The local markets can help to walk on this way, making the environment more sustainable. Thus, the article aims to analyze aspects related to environmental, social and economic sustainability with food product exhibitors in local markets in Canada and Brazil. Qualitative research was carried out at local markets, in the Concordia Farmers Market (CFM), in the city of Montreal - Canada and in the Mercado de Produção da Agricultura Familiar (FEPRAF), in the city of Júlio de Castilhos - Brazil. Data were collected through interviews and participant observation, and analyzed using content analysis. The results identified aspects related to environmental sustainability (organic and artisanal foods without chemicals and waste reduction), social (local markets generate an opportunity to strengthen relationships between producers and customers, bonds and exchange of information) and economic (appreciation of local products by developing the region's economy).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.008
Science and technology studies0.0030.003
Scholarly communication0.0010.004
Open science0.0050.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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