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Record W4285355136 · doi:10.5406/21558450.48.3.09

But How?

2021· article· en· W4285355136 on OpenAlexaffabout
Ornella Nzindukiyimana

Bibliographic record

VenueJournal of Sport History · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsNarrativeContext (archaeology)Public historyPoliticsSeriousnessMainstreamPerspective (graphical)Media studiesVariety (cybernetics)SociologyHistoryPolitical scienceAestheticsLawLiteratureVisual artsArt

Abstract

fetched live from OpenAlex

Abstract Overexposed famous histories of Black people in the West often lead to mainstream oversimplification, relegate racial tensions to the past or elsewhere, and label them a closed chapter. These histories produce curated, uncontextualized grand narratives. The Canadian sport context is particularly fertile ground to explore the silencing of Blackness in national public histories. For instance, Jackie Robinson's 1946 debut with the Montreal Royals was more than the sanitized Canada-the-good moment reflected in Heritage Minutes. While shortened histories can be useful portals into complex sociohistorical narratives for the public, left to themselves, they deny complexity, often for political purposes. I argue that history of sport scholars need to be deliberate in publicly underscoring the “seriousness” of sport, not by themselves, but as a collective. This means more involvement in public sport history to provide an often-missing critical perspective. There are a variety of methods at historians’ disposal to begin working in tandem with each other and with other nonacademic stakeholders invested in public sport history. Using a Black Canadian lens, this essay adds a currently absent perspective to the discussion of the state of public sport history to illustrate directions for an enhanced presence of the work of historians of sport outside academia. I discuss best practices using examples of some historians’ efforts to provide critical, intersectional, and visible counternarratives alongside various other sport stakeholders, from journalists to halls of fame, and through multiple formats.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.269
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2021
Admission routes2
Has abstractyes

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