Bibliographic record
Abstract
The present project was intended to provide an initial exploratory investigation into the relationship between hostility and world assumptions for a firefighting sample. Specifically, we hypothesized that increased hostility would be associated with more negative assumptions with respect to world benevolence, world justness, and self-worth, and that these variables would also be related to years of service and self-reported mental health. The current study was part of a larger study with firefighters from British Columbia, Canada, and included 186 paid-professional firefighters who completed a series of questionnaires. We demonstrated that, for our firefighting sample, hostility was related to both world benevolence and self-worth across multiple measures, even while controlling for the individual characteristic neuroticism. We did not find any significant relationship with years of service, but world benevolence and self-worth were also important in the prediction of mental health outcomes. These findings may have clinical or occupational intervention implications in therapeutic relationships with firefighters, in that the present project demonstrated a first indication that reduced hostility in combination with increased positivity in world assumptions may help achieve good mental health.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".