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Record W1997059776 · doi:10.1080/13597560308559449

The Regional Dimensions of Federal Intergovernmental and Interpersonal Transfers in Canada, 1981–2001

2003· article· en· W1997059776 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRegional & Federal Studies · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPer capitaTransfer paymentConvergence (economics)EconomicsEqualization (audio)Government (linguistics)Social securityInterpersonal communicationTransfer (computing)Public economicsDemographic economicsEconomic growthSociologyDemographyStatisticsMathematicsSocial science

Abstract

fetched live from OpenAlex

This contribution examines the effect of the explicit and implicit equalization activities of the Canadian federal government for the period 1981–2001. It deals with two programmes which transfer resources to provinces (the Equalization programme and the Canadian Health and Social Transfer); and two which transfer resources to individuals (the Employment Insurance and the Old Age Security Programmes). The focus on the implicit equalization effects of programmes not explicitly designed to favour poorer regions is novel. Taking explicit and implicit equalization together there is evidence of provincial convergence in terms of GDP per capita and personal income per capita on to the national average. This finding qualifies the hypothesis that equalization retards the economic growth of recipient regions.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.415
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.237
Teacher spread0.181 · 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