1 The Work of Deputy Sheriffs in British Columbia, 2008: Problems and Prospects
Bibliographic record
Abstract
The following statements are taken from the comments of deputy sheriffs, surveyed in August of 2008; these summaries reflect their most commonly expressed concerns. • The organization seems unwilling to accept that the sheriffs are in crisis at this time. Only three things can bring morale back. 1) wages 2) job description – an expanded mandate, 3) managerial behaviours – there is poor middle management, reluctant to change from a 'direct control ' approach to an 'inclusive and supportive ' approach. • Jobs must inspire your pride in what you do. Fundamentally sitting like a statue in court is boring-- rotate and train employees. • Alberta Sheriffs have a much wider range of duties and a starting wage that is at least $10,000 more a year than us-- yet we all provide the same duties. (There is)a lack of money and interest, which has helped me in making my decision to move on to other employment. • One of the reasons many of us leave is out of boredom. We see what
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".