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Record W4235716007 · doi:10.1017/s0008423920000682

CJP volume 53 issue 2 Cover and Back matter

2020· paratext· en· W4235716007 on OpenAlexaffabout
Brenda O’Neill

Bibliographic record

VenueCanadian Journal of Political Science · 2020
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsUniversité du Québec en OutaouaisUniversity of Calgary
Fundersnot available
KeywordsCover (algebra)Volume (thermodynamics)Action (physics)Computer scienceEngineeringPhysicsMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

canadienne-de-science-politique) until after a manuscript is accepted for publication. La Revue utilise un processus d'examen double insu comportant au moins deux valuations pour chaque soumission. Toutes les soumissions la Revue sont traites via le systme de suivi en ligne Editorial Manager l'adresse https://www.editorialmanager.com/cjps-rcsp/. Les articles de recherche ne doivent pas dpasser 10 000 mots (tout matriel inclus), quant aux notes de recherches elles ne doivent pas excder les 6 000 mots; les soumissions doivent tre prpares en MS Word, double interligne et dans une police de caractres d'au moins 12 points. Les rsums doivent avoir une longueur de 150 mots. Les auteurs(es) peuvent inclure des lments qui compltent leur manuscrit (tels que des tableaux, des fi gures, des annexes ou encore des questionnaires d'entrevue) qui ne seront disponibles que sous forme d'annexe en ligne. Les recensions doivent avoir une longueur maximale de 800 mots et soumis directement l'diteur par courriel ; veuillez noter que la Revue n'accepte pas les recensions non sollicites. La Revue n'exige pas que les soumissions initiales soient mises

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.256
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.4000.656

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 head0.031
GPT teacher head0.218
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes2
Has abstractyes

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