Three years after a disaster : does adults are fine?
Bibliographic record
Abstract
In July 2013, a train derailed in downtown Lac-Mégantic. It was responsible for forty-seven deaths, forty-four buildings destroyed, 2000 evacuees, and a major oil spill. A phone survey was conducted during autumn 2016 among 800 adults to examine the behavioral, psychological, and social impacts of this disaster three year after in regards of intense, moderate, or no exposure. Relationships between exposure intensity and these impacts were examined. A quarter (25 %) experienced intense exposure, 53% moderate exposure, and a quarter no exposure (22%). Higher proportion of high-exposure individual report their health status as either fair or poor, present more symptoms of traumatic stress disorder and symptoms of anxiety and depression. A substantial number of individual’s with high exposure have reported difficulties when managing both the catastrophe and its consequences on their personal, family, or professional lives. A quarter of the individuals who lost loved ones in the tragedy have difficulties in managing their grief.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".