Bibliographic record
Abstract
OBJECTIVE: This case report and discussion describe the psychiatric and social consequences of being a stalking victim, with particular focus on its impact on the victim's occupation. METHOD: Data were gathered from the assessment and arbitration hearing of a female employee who lost her job while being stalked. Computerized literature searches were used to identify relevant papers from psychiatric and legal journals. RESULTS: This case illustrates many of the common features of stalking. The female victim was harassed by a male after a failed intimate relationship. The victim suffered from depression, anxiety, guilt, shame, helplessness, humiliation, and posttraumatic stress disorder (PTSD). The stalking affected her psychological, interpersonal, and occupational functioning. Consequently, she was fired for poor work performance and poor attendance. CONCLUSION: Stalking may affect a victim's ability to work in several ways. The criminal behaviours often interfere directly with work attendance or productivity and result in the workplace becoming an unsafe location. Further, stalking may indirectly affect a person's ability to work through the many adverse emotional consequences suffered.
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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 | 0.000 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".