Professional Legitimation for Education in Canadian Universities: The Canadian Journal of Education, 1976-1997
Bibliographic record
Abstract
The history of the Canadian Society for the Study of Education (CSSE) has been profoundly influenced by changes in the role of the Canadian State. The introduction of social welfare legislation based on Keynesian economics was paralleled in the social sciences as the state adopted first a supportive role, then an active, interventionist role with regard to funding social science research. The inclusion of education in the social science field is set within the broader structural trends in society toward professionalization and utilitarianism. The dominance of human capital theory and the strategic component of the developing national science policy during the 1960s typify the latter trend. As in other industrialized societies, the aristocratic ideal of civility has been overtaken by the professional ideal, which according to Perkin (1989) is “based on trained expertise and selection by merit...[emphasizing] human capital rather than passive or active property, highly skilled and differentiated labour rather than the simple labour theory of value, and selection by merit defined as trained and certified expertise” (p. 4). The predominance of this ideal in modern society is clearly linked to the emergence of the interventionist state and its emphasis on the public good.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.030 |
| Science and technology studies | 0.022 | 0.009 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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".