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Record W2810135144 · doi:10.1002/ab.21774

Body mass index, facial width‐to‐height ratio, and perceived formidability in female Ultimate Fighting Championship (UFC) fighters

2018· article· en· W2810135144 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAggressive Behavior · 2018
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsPsychologyBody mass indexPerceptionDemographyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

Both facial width-to-height ratio (fWHR) and body mass index (BMI) have been associated with aggressive behavior in women but how they influence perception of their potential threat remain unclear. Here, we assessed the effects of fWHR and BMI on perceived formidability from faces of 42 female Ultimate Fighting Championship (UFC) fighters. In study 1, BMI, but not fWHR, positively predicted participants' ratings of aggressiveness and fighting ability from facial photographs. In study 2, both high fWHR and high BMI composite faces were rated as more aggressive, tougher, and more likely to win a fight than low fWHR and low BMI composite faces, respectively. Further analyses revealed that the high BMI composite face was rated as more aggressive and tougher than the high fWHR composite face. Taken together, these results suggest that compared to fWHR, BMI may be a more salient cue to women's formidability.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.353
Teacher spread0.314 · 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