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Record W1481304468 · doi:10.7202/601002ar

La formation des prix et les industries canadiennes exposées et abritées

2009· article· en· W1481304468 on OpenAlexaffvenueabout
Bernard Decaluwé

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Socioeconomic and Political Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEconomicsCompetition (biology)Inflation (cosmology)CredibilityContext (archaeology)EconomyWelfare economicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Following the bursts of inflation registered in the 1970s, many authors pointed to a generalization of the phenomenon of inflation and claimed that in a small economy highly integrated into international markets, the steady rise in general price levels might be attributable to foreign causes. In this context, the "Scandinavian School" gave renewed credibility to the division of the economy into two major categories: sectors exposed to strong international competition and those protected from such competition. In our study, we do not attempt to validate the entire "Scandinavian model", but only to examine the nature of the distinction between exposed and sheltered industries by proposing a list of industries in each of the two categories. In contrast to other work based on the Scandinavian model, the proposed classification presented in this study is based on a measure of the proportion of a sector's output that is exported. Following this arbitrary criterion, we divide the 22 branches of the primary and manufacturing sectors into eleven exposed and eleven sheltered branches. A series of tests are then applied to validate this classification.

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)0.006
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 score0.969
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.003
Scholarly communication0.0080.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.105
GPT teacher head0.260
Teacher spread0.155 · 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
Published2009
Admission routes3
Has abstractyes

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