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Record W4213307001 · doi:10.1080/16184740108721905

Book reviews

2001· article· en· W4213307001 on OpenAlexaff
Milena M. Parent, Núria Puig, Michael K. Mauws, Ken Foster, Liz Furlop

Bibliographic record

VenueEuropean Sport Management Quarterly · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPublishingSociologyLibrary scienceSAGEManagementMedia studiesArt historyPolitical scienceArtLawEconomicsComputer science

Abstract

fetched live from OpenAlex

Mega‐events and Modernity: Olympics and Expos in the Growth of Global Culture. Roche, M. (2000). London: Routledge, 281 pages. Research Methods for Business Students (2nd edition). Saunders, M.; Lewis, P.; & Thornhill, A. (2000). Pearson Education Limited, Essex, 496 pages. Institutions and Organizations. Scott, W. R. (2001). (2nd ed.). Thousand Oaks, CA: Sage, 255 pages. Sports Law. Gardiner, S. (ed.) (2001): Cavendish Publishing, London, 798 pages. Doing Critical Management Research. Alvesson, M. and Deetz, S. (2000). London: Sage, 232 pages.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.367
Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3670.297

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 head0.026
GPT teacher head0.292
Teacher spread0.266 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Sport Management QuarterlySame topicSport and Mega-Event ImpactsFrench-language works237,207