MétaCan
Menu
Back to cohort
Record W3085232431 · doi:10.14738/assrj.78.8527

Fifty Years of Dazzling, Dizzying Threads: Anniversary of Pittsburgh Pirates Debuting Double-Knits July 1970.

2020· article· en· W3085232431 on OpenAlexaboutno aff
Ken Moon

Bibliographic record

VenueAdvances in Social Sciences Research Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsLeaguePresentation (obstetrics)StadiumWhite (mutation)ClothingHistoryArt historyVisual artsArtArchaeology

Abstract

fetched live from OpenAlex

This article was originally accepted for presentation at the Baseball in Literature and Culture Conference at Ottawa University in Ottawa, Kansas, in April 2020 (conference cancelled due to Covid-19 outbreak) and presented virtually (via Zoom) for the 37th Sports Literature Association Conference, Virtual Edition June 19, 2020. This article commemorates the fiftieth anniversary of the Pittsburgh Pirates, when debuting in Three Rivers Stadium fifty years ago July 16, 1970, making a fashion statement in their new uniforms that would change the look of the game as much as the multi-purpose stadiums and artificial surface fields Major Leaguers played on. Their white double-knit uniforms would spark a revolution in uniform design soon to be adopted by all the Major League teams within a couple years. Their uniform’s nylon-cotton blend fabric changed the look of Major League Baseball at a time when advancements in textile technology combined with a freer spirit in graphics experimentation allowed for bold—and sometimes wild—fashion designs not seen before in professional sports. Several books along with news and commercial web sites/sources are referenced to confirm information in the article.

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)0.004
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 score0.061
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0110.003
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0610.028

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 head0.143
GPT teacher head0.404
Teacher spread0.261 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Social Sciences Research JournalSame topicAmerican Sports and LiteratureFrench-language works237,207