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Record W1595918329

A Defensive Alliance: The Maritime Provinces and the Turgeon Commission on Transportation, 1948-1951

2006· article· en· W1595918329 on OpenAlexaffabout
T. Stephen Henderson

Bibliographic record

VenueÉrudit (Université de Montréal) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsAcadia University
Fundersnot available
KeywordsCommissionAlliancePolitical scienceHumanitiesEconomyGeographyEconomicsArtLaw
DOInot available

Abstract

fetched live from OpenAlex

Les tarifs de transport des marchandises par chemin de fer amorcèrent une montée en flèche en 1948, alors que la Commission des transports du Canada approuva une série de hausses demandées par les sociétés ferroviaires canadiennes. Les hausses de tarifs ébranlèrent le système de subventions régionales, vieux de 20 ans, qui avait pour but de compenser les inconvénients que leur éloignement représentait pour les expéditeurs de l'extérieur du Canada central. Les premiers ministres des provinces éloignées s'unirent pour protester, réclamant une solution politique à un problème économique structurel. Ottawa nomma une commission royale pour étudier la question, mais celle-ci s'avéra sans effet. L'unité des provinces était superficielle, et les dirigeants des Maritimes ne purent s'entendre sur un seul plan global. La commission recommanda qu'il n'y ait aucune intervention substantielle de l'État dans le système canadien des transports et permit aux forces du marché d'accélérer la centralisation de cette industrie au Canada.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.117
Threshold uncertainty score0.848

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0140.006
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.003
GPT teacher head0.148
Teacher spread0.145 · 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 designQualitative
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

Citations2
Published2006
Admission routes2
Has abstractyes

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Same venueÉrudit (Université de Montréal)Same topicCanadian Identity and HistoryFrench-language works237,207