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Record W2165365312

L'emploi dans les sieges sociaux au Canada, de 1999 a 2005

2006· preprint· fr· W2165365312 on OpenAlexaboutno aff
Desmond Beckstead

Bibliographic record

VenueRePEc: Research Papers in Economics · 2006
Typepreprint
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSiegeHumanitiesPolitical scienceEthnologyArtSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Ce document présente une analyse des tendances touchant l'emploi dans les sièges sociaux du secteur des entreprises au Canada de 1999 à 2005. On y examine l'évolution du nombre de sièges sociaux et du nombre d'emplois dans ces derniers au cours de la période en question. L'examen englobe aussi les effets de la propriété étrangère sur l'emploi dans les sièges sociaux. L'une des questions abordées consiste à savoir quelle part de l'emploi - et de la croissance de l'emploi - dans les sièges sociaux au Canada est associée aux entreprises sous contrôle étranger; nous considérons également les répercussions que peut avoir sur l'emploi le transfert à des intérêts étrangers du contrôle d'une entreprise auparavant sous contrôle canadien. Le document examine en outre le rythme de création et de disparition des sièges sociaux au fil du temps, le but étant d'établir si la fermeture d'un siège social est un phénomène rare ou au contraire plutôt courant. Enfin, le document expose les tendances entourant l'emploi dans les sièges sociaux au niveau des régions métropolitaines au cours des six dernières années.

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 score0.080
Threshold uncertainty score0.582

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0120.003
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.046
GPT teacher head0.341
Teacher spread0.295 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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