Employment-Seeking Behaviours Among Newly Certified Ontario Teachers
Bibliographic record
Abstract
In Ontario, Canada, the legislation commonly known as Regulation 274, outlines how newly certified teachers in the province are offered employment in the province’s schools, and limits their options for immediate full-time employment in teaching.. The new 2-year certification teacher preparation program in Ontario, which started in the fall of 2015, produced its first cohort of teachers in spring 2017. The cohort is arguably the best prepared group of teachers ever produced in the province, since they have twice the professional training (both course hours and practicum time) of any previous cohort of teachers in the jurisdiction. However, Regulation 274 continues to limit their access to immediate full-time employment in the profession. The researchers sought to identify the job-seeking behaviours and plans of this new group of teachers and to examine correlations between the group’s job seeking behaviours and plans, in the current employment climate of the province, and their level of student debt as they exit the two-year preparation program, as well as other factors that may affect their employment in the profession. Debt and other social factors were found to influence employment decisions of these new teachers.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".