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Record W4391120316 · doi:10.7202/1108478ar

Valorisation patrimoniale et marchande de la ressource territoriale. Analyse à partir d’un produit du terroir labellisé IG : la figue sèche des At Maouche

2024· article· fr· W4391120316 on OpenAlexvenueno aff
Akli Akerkar

Bibliographic record

VenueCanadian Journal of Regional Science · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceProduct placementBusinessPhilosophyAdvertising

Abstract

fetched live from OpenAlex

Cette étude analyse le processus de spécification de la figue sèche des At Maouche. Les résultats montrent que les figuiculteurs adoptent une stratégie intégrée de valorisation patrimoniale et marchande de la ressource. En s’ouvrant à l’extérieur, ils s’insèrent dans des réseaux d’acteurs qui leur permettent d’articuler leurs savoirs de proximité aux savoirs réflexifs exogènes et aux savoirs managériaux d’organisation. Cependant, la durabilité de ce processus semble difficilement généralisable du fait qu’il est essentiellement porté par des acteurs exogènes et qu’il n’est pas véritablement approprié par les figuiculteurs.

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 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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.009
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.288
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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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