Hunting for Trophies: Online Hunting Photographs Reveal Achievement Satisfaction with Large and Dangerous Prey
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.
Bibliographic record
Abstract
Despite its manifold implications, insight into what satisfactions hunters derive from trophy hunting has not been thoroughly investigated. We used a novel method to assess how common satisfaction might be from harvesting animals under different achievement contexts. We scored smile types—signals of emotion and satisfaction—in 2,791 online hunting photographs. We show that the odds of true “pleasure” smiles are greater when hunters pose: (a) with versus without prey, (b) with large versus small prey and, (c) with carnivores versus herbivores (among older men). We emerge with a generalizable achievement-oriented hypothesis to propose that the prospect of displaying large and/or dangerous prey at least in part underlies the behavior of many contemporary hunters. Given that achievement was also likely important among ancestral hunter-gatherers and remains so in contemporary cultural and commercial marketing contexts, management might benefit by increased attention to achievement satisfaction among hunters.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it