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Record W1847114042 · doi:10.3917/resg.105.0037

Using prosperity to construct an economic crisis : Alberta’s “bitumen” bubble

2015· article· fr· W1847114042 on OpenAlexaboutno aff
Robert P. Gephart

Bibliographic record

VenueRecherches en Sciences de Gestion · 2015
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityPolitical scienceHumanitiesEconomyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Cet article étudie comment les mesures de prospérité économique peuvent être utilisées pour créer une crise économique. Nous avons effectué une analyse ethnostatistique du discours du Premier Ministre d’Alberta (Canada). Cela a permis d’étudier en quoi la rhétorique est utilisée pour construire une « bulle de bitume » en tant que crise émergente menaçant la prospérité économique actuelle et future en Alberta. Les discours, les métaphores et les exclusions constituent les pratiques rhétoriques principalement utilisées pour construire la prospérité, la bulle et la crise économiques. La construction des crises économiques peut ainsi créer des opportunités économiques pour le changement organisationnel.

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 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)0.013
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.493
GPT teacher head0.430
Teacher spread0.063 · 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 teacher head, not a consensus.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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