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Record W7029805563

L’économie sociale au Bas-Saint-Laurent : son impact à l’émergence d’un modèle de développement territorial progressiste

2017· other· fr· W7029805563 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typeother
Languagefr
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringSocial economyTypologyPopulationOrder (exchange)Economic restructuringSocial changeWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The Bas-Saint-Laurent is one of the six major outlying regions of Quebec. Although the restructuring of its economy has facilitated its repositioning on the provincial scene in recent years, this region is still characterized by the persistence of socio-economic disparities aggravated by population decline in many localities. Just as can be seen across the province, many regional players turned to the social economy in order to give a boost to the economy of this region. Do these social economy enterprises of the Bas-Saint-Laurent set the conditions for progressive territorial development? The aim of this paper is to assess the social and economic contributions of social economy enterprises to development in the Bas-Saint-Laurent. This is done in terms of the social representations of the managers of 129 companies: the analysis is performed by distinguishing certain geographic and socio-economic differences between rural and urban areas. The result is a cartographic typology of the localities in the Bas-Saint-Laurent based on the contribution of social economy enterprises to social and economic development.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.051
GPT teacher head0.316
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designOther design
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
Published2017
Admission routes1
Has abstractyes

Explore more

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