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Record W4232235449 · doi:10.1017/s0307883314000911

TRI volume 40 issue 1 Cover and Front matter

2015· article· en· W4232235449 on OpenAlexaff
Charlotte Canning, Paul Rae, Lydia Nelson, Kay Richards, James Arnott, Claude Schumacher, Brian Singleton, Christopher Balme, Freddie Rokem, Elaine Aston, Denise Varney, Katherine Zien, Peter M. Boenisch, Milena Grass, William Peterson, Fintan Walsh

Bibliographic record

VenueTheatre Research International · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Action (physics)Content (measure theory)Environmental scienceHistoryGeographyEngineeringMeteorologyPhysicsMathematicsMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

is published three times a year in March, July and October.Three parts form a volume.The subscription price which includes delivery by air where appropriate (but excluding VAT) of volume 40 is £202 (US $336 in USA, Canada and Mexico) for institutions print and electronic, institutions electronic only £170/$285; £42 (US $74 in USA, Canada and Mexico) for individuals ordering direct from the publishers and certifying that the journal is for their personal use.Single parts are £72 net (US $118 in USA, Canada and Mexico) plus postage.EU subscribers (outside the UK) who are not registered for VAT should add VAT at their country's rate.VAT registered members should provide their VAT registration number.Japanese prices for institutions (including ASP delivery) are available from Kinokuniya Company Ltd, P.

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 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 score0.097
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9030.866

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 head0.122
GPT teacher head0.315
Teacher spread0.192 · 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; the direct Gemma label and the distilled Codex classifier 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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