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Record W4292098990 · doi:10.1080/09523367.2022.2105839

Book Reviews: A Specificity of Historical Practice

2022· article· en· W4292098990 on OpenAlexaff
Douglas Booth

Bibliographic record

VenueThe International Journal of the History of Sport · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsGroup cohesivenessHistoriographyDisciplinePublicationSociologyField (mathematics)Social scienceSpace (punctuation)Media studiesPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

The leading journals in the history of sport publish book reviews which are a longstanding and visible feature of the discipline. Indeed, some journals allocate almost as much space to reviews as to scholarly articles. In this article I analyze and evaluate the contributions that book reviews make to the production of knowledge and to building disciplinary and social cohesiveness in the field. Following Pierre Bourdieu, I argue that book reviews play important roles in communities of professional scholars and the way that members position themselves and engage with, relate to, and judge one another. I illustrate this with a case study of 271 book reviews published in Sporting Traditions (the official journal of the Australian Society for Sports History) between 1984 and 1995. The case study yields two particularly relevant conclusions. First, the level of historiographical analysis presented in book reviews is typically minimal with rigorous, detailed and perceptive analyses uncommon. Second, most reviewers adopt mitigating strategies to temper or dilute their criticisms.

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)0.029
metaresearch head score (Gemma)0.130
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.130
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.010
Science and technology studies0.0050.023
Scholarly communication0.0270.011
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.004

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 head0.061
GPT teacher head0.321
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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