Innovative Policies and Practices for Human Resource Development in a Canadian Community College. Canadian Society for the Study of Higher
Bibliographic record
Abstract
Though bound by a number of political, economic, and institutional constraints on opticls for staff development, Niagara College (Ontario) made a commitment to design a formal human resource development strategy to meet the needs of all college staff through the 1990s. In 1982, a Human Resource Development Committee was mandated to assess current practices and policies, develop an in-house training system for employee development, identify new sources for staff development, and prepare training materials. As a first step, the committee began to assess the "knowns and unknowns" of human resource development at Niagara. Three study groups were formed to survey the needs of different staff groups. Data from the surveys, recommendations, and a demographic profile of the staff were organized into briefs related to major committee agenda items. As cohesiveness and momentum developed, the committee established a problem-solving process which included information review,
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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 | 0.028 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.034 | 0.019 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".