Public First Nations Sport History Projects
Bibliographic record
Abstract
Abstract In this article, we discuss principles of co-design for sport historians who wish to engage in public histories with First Nations communities. Co-design is an emerging scholarly practice that has generated a body of knowledge about working equitably, appropriately, and respectfully with First Nations communities and that offers mutually benefiting outcomes for First Nations communities, historians, and the public. We evaluate co-design principles through our experiences conducting historical projects with several Australian First Nations communities: in the Torres Strait Islands, Papunya and Yuendumu in central Australia, and the Queensland communities of Barcaldine, Cherbourg, and Yarrabah. These projects have produced, or are producing, outcomes for communities and public audiences that extend beyond academic journal articles to include books, museum exhibitions, and community databases. We advocate that sport historians who research with First Nations communities consider co-design principles to help ensure that outputs are culturally responsive, responsible, and beneficial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.032 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.092 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".