Bibliographic record
Abstract
This May 2025 issue of Sport History Review (SHR) marks an editorial transition.A few years ago, when asked by Carly Adams to be part of the Editorial Board of the oldest academic journal in the field, it was truly an honor.My very first published work as a fledgling scholar was in this journal.I never imagined becoming its editor.I never dreamed of being a scholar either so that may explain it.1 Nevertheless, I find myself dreaming of what that labour can and will entail for me and thus this journal.I invite you to dream with me.As I take over for Carly Adams, who has been at the helm of SHR since 2014, I must express my deep gratitude to her.I cannot speak enough of Carly's virtues as a colleague, so I will be brief.I worked with her as part of the SHR Editorial Board and through the North American Society of Sport History, but I first encountered her when she invited me to contribute to her 2021 edited volume, Sport and Recreation in Canadian History, when I was still a Ph.D. candidate.She has been a significant figure in my career over the course of the last few years but, most of all, she has done exceptional work during her eight years as editor, a position she undertook with a vision to push us-scholars and researchers-to imagine more for our field and ourselves as its agents.Even more, Carly steered the journal during the worst of the COVID-19 pandemic.I remain very grateful for her invitation, her guidance during the transition, for her generosity and patience, and especially for her staying on as Consulting Editor.I am looking forward to seeing what she does next and wish her the best.In the spirit of being real, I will note that absolutely no one teaches you how to be an editor in school.I would therefore be remiss if I did not acknowledge the team that makes the SHR machine run and those I especially leaned on for this issue.The Human Kinetics staff, particularly Tammy Miller and Christina Johnson, has been key in this transition and ensure that the journal stays on its feet: Tammy and Christina, your patience through various emails is much appreciated.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.551 | 0.315 |
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".