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La place du capital social comme facteur explicatif des différences de performance des conseils régionaux de déaveloppement du Québec

2001· article· en· W2028092904 on OpenAlexaffabout
Louis Côté

Bibliographic record

VenueCanadian Public Administration · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsSocial capitalSociologyHumanitiesWelfare economicsCapital (architecture)Social scienceEconomicsGeographyPhilosophy

Abstract

fetched live from OpenAlex

Abstract: This work presents the results of an empirical study on the regional institutions set up in Quebec in 1991, when a new regional development strategy was adopted. The purpose of the study was to measure and compare the relative performance of the regional development boards and to assess the role of the regional social capital as a factor that could explain the discrepancies found. The performance was assessed on the basis of eighteen indicators using quantitative and qualitative data. The results were collated into a single performance indicator; depending on the region, the performance ranged from merely fair to good. In order to determine the underlying causes of differences in performance, seven hypotheses based on sociological theory were tested. Only the social capital hypothesis was confirmed, as it accounted for nearly fifty‐eight per cent of the performance variation. Moreover, the analysis raised a number of issues pertaining to social capital.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.060
GPT teacher head0.296
Teacher spread0.236 · 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 designObservational
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

Citations5
Published2001
Admission routes2
Has abstractyes

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