Variation in Average Teacher Salaries among Canadian Provinces and Its Probable Reasons.
Bibliographic record
Abstract
all the people working in an education system, teachers play the most important role, since it is they who instruct students everyday and have a direct impact on students' cognitive and affective development. It is not an exaggeration to say that a school's success ultimately depends on its teachers. A study by the Canadian Teachers' Federation revealed that the majority of Canadian teachers felt proud to be teachers, would choose teaching as a career again if they had a second chance, and considered teaching a very worthwhile job. The same study also revealed that over half of the teachers felt that the financial rewards in teaching were satisfactory.1 Like all the other people working in schools, teachers need to be recruited, inducted and compensated. Because the success of a school depends on its teachers, the recruitment of teachers is crucial. In addition, as governments in Canada have been under the pressure of economic constraint that affects the funding of public schools,2 and as the general public's demand for public schools' accountability persists,3 the recruitment and selection of teachers has received more attention.4
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".