MétaCan
Menu
← Back to cohort

Changeover

2022· book-chapter· en· W4311466266 on OpenAlexaboutno aff
Ashley C. Brown

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsTournamentChampionshipAdvertisingAmateurAdventureMedia studiesWorld championshipMainstreamVisual artsHistorySociologyArtArt historyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract This chapter begins by describing how Althea Gibson played as much tennis as possible in the six weeks leading up to Forest Hills in 1956. She then participated in the O’Keefe Invitation Tennis Tournament in Toronto and the Pacific Southwest Tennis Championship in Los Angeles. Gibson’s status as an outsider was undeniable during her time in Los Angeles; she was the only Black player in the tournament. After Los Angeles, she played the Colorado State Championship in Denver. The chapter then looks at Gibson’s position as a Black celebrity and how World Tennis used a solo portrait of her for its November cover, her first for an American magazine. The World Tennis cover was a welcome change in mainstream media coverage of Gibson that fall. The chapter considers how the State Department found Gibson plenty suitable for its purposes in Australia. At the request of the Australian Lawn Tennis Association, Gibson played in the country’s four most important tournaments. However, Gibson drew heavy criticism in the Australian press and faced the issue of sexism.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.499
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.4990.186

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 head0.062
GPT teacher head0.294
Teacher spread0.232 · 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
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicSports, Gender, and Society→French-language works237,207→