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Record W1489113105 · doi:10.7202/014660ar

Territoires et communautés rurales : une complémentarité de méthodes pour l’étude du développement territorial viable de MRC québécoises

2007· article· fr· W1489113105 on OpenAlexaffvenue
Christiane Gagnon, Serge Gagnon, Luc‐Normand Tellier, Koassi D’Almeida, Marie-José Fortin

Bibliographic record

VenueRecherches sociographiques · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec en OutaouaisUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyPhilosophy

Abstract

fetched live from OpenAlex

Les territoires ruraux connaissent de profonds changements, accélérés par la technologie ou la mobilité des biens et des personnes. Le contexte de transformation de la ruralité impose une révision des instruments d’observation et d’analyse dans le sens d’une approche méthodologique intégrative. Le texte pose la question de la pertinence d’une approche multidisciplinaire dans le cadre d’une recherche portant sur la dynamique de développement de territoires mercéens, notamment sur les rapports entre villes et campagnes (FQRSC, action concertée sur les communautés rurales, 2005-2006). Les trois méthodes d’analyse retenues sont : la topodynamique, la géographie structurale et les indicateurs socio-environnementaux.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.145
GPT teacher head0.378
Teacher spread0.233 · 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 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

Citations8
Published2007
Admission routes2
Has abstractyes

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