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Record W4417122338 · doi:10.26522/jess.v12i.5347

"...where, in fact, will we go?"

2025· article· W4417122338 on OpenAlexaffvenue
Nathan Viktor Fawaz, Tricia McGuire-Adams, Jay Laurendeau

Bibliographic record

VenueJournal of Emerging Sport Studies · 2025
Typearticle
Language
FieldSocial Sciences
TopicEducational Leadership and Practices
Canadian institutionsUniversity of TorontoUniversity of LethbridgeUniversity of Alberta
Fundersnot available
KeywordsPoliticsService (business)Test (biology)Natural (archaeology)

Abstract

fetched live from OpenAlex

People are being disappeared for expressing their political views. 8Entire categories of people are being dis-identified.Activists and opposing politicians alike are being threatened, doxxed, and murdered for their political work.People are being shot -on military orders -while lining up for desperately needed aid. 9Financial and scientific support for lifesaving vaccines and medical advances are being actively undercut at the very same time as populations under assaultfacing famine, water shortages, and unsanitary conditions -are encountering life-threatening diseases, some thought to have been all but eradicated. 10And, as always (in some form or another), people are being brutally killed, disappeared, and/or indentured or in the service to the imperatives of consolidating wealth and power.We might say 'times like these feel impossible.' Perhaps, though, it is more true to say: at brutal and unnecessary cost, it is precisely times like these that test and push our ideas of what may be imagined as possible.Things are impossibly horrible right now.Life, itself, is not possible for so many members of the terrestrial world.It's no stretch of the imagination to understand why some people think the only plausible solution is for humans to burn everything here to the ground and somehow start all over, clean-slate-style on Mars.Indeed, it is not hyperbolic to repeat: the world is, as they say, "on fire." AndThere is immense and impossible beauty.Incandescent beauty.People, across communities and beyond political borders, are engaged in networks of mutual-aid. 11Communities are finding, naming, and sharing macro-and 8 See https://www.cnn.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.593
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.088
GPT teacher head0.444
Teacher spread0.355 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes2
Has abstractyes

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