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Record W2023117171 · doi:10.7202/020418ar

La région de Québec : peuplement et problèmes de population

2005· article· en· W2023117171 on OpenAlexvenueaboutno aff
Fernand Grenier

Bibliographic record

VenueCahiers de géographie du Québec · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGeographySettlement (finance)CensusPopulationCapital (architecture)Order (exchange)Net migration rateEconomic geographyPopulation growthDemographyEconomicsSociologyArchaeology

Abstract

fetched live from OpenAlex

The region of Québec comprises nine counties and at the time of the 1961 census had a total population of 643,843 inhabitants. The author briefly describes the physical characteristics of the region and shows that its unity resides in the dominating influence of Québec, regional capital. In the study of the settlement, the author's analysis is devoted particularly to a criticism of the « rang » System of rural settlement. The growth of the population is rather appreciable even though all of the counties except Québec experience a net migration loss. The pattern of urban influence seems unbalanced. The Québec agglomeration alone includes more than half of the population of the region. Aside from Québec, the region has only small towns with population smaller than 5,000. In order to retain its importance, the region needs to undergo development in all sectors of its economy, particularly in that of secondary industry, which is currently somewhat retarded.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.008
Science and technology studies0.0040.003
Scholarly communication0.0050.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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

Citations3
Published2005
Admission routes2
Has abstractyes

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