Historical and Economic Changes in the Development of Teaching in Canada in the 19th and 20th century, 10.5281/zenodo.15196294,10.5281/zenodo.15171991
Bibliographic record
Abstract
16/2020 L'EUROPE UNIE /UNITED EUROPE, PARIS, No-16/2020, Print ISSN: 0248-2851, On line ISSN: 2743-4052 Linking ISSN (ISSN-L): 2743-4052, EAN: 99782749700519, DOI: 10.13140/RG.2.2.29873.49761, https://www.ceeol.com/search/journal-detail?id=1955 Historical and Economic Changes in the Development of Teaching in Canada in the 19th and 20th century (Historical and Economic Changes in the Development of Teaching in Canada in the 19th and 20th century) Author(s): Nicoleta Vasilcovschi Language: English Subject(s): History, Economy, Diplomatic history, Financial Markets Issue: 16/16/2020 Page Range: 79-87 No. of Pages: 9 Keywords: teaching profession in Canada; professionalization and proletarianization of teaching; "back-to-basics" movement; "feminization of teaching"; Summary/Abstract: Different authors have presented the development of teaching in Canada and its characteristics in the provinces of Eastern and Western Canada. There are several approaches concerning historical changes of the teaching profession in Canada and how the professionalization of teaching can affect the teacher socially, economically and politically. The development of teaching in Canada as a profession started in the 19th century and is presented with different critical observations concerning its particularities as it has evolved through time. This research describes the development of the teaching profession in Canada and introduces the concept of the professionalization of teaching and its implications for Canadian teachers, their education and work in class. This paper generally shows the particularities of the evolution of this profession in different provinces from the 19th to the 20th century. Then, the role played by progressive education in Canada and the importance for Canadian education of the “back-to-basics” movement are presented. Moreover, this paper briefly depicts the characteristics of self-regulated professions and a timeline of the establishment of teaching as a self-regulating profession in different provinces of Canada, with an example of teaching as a self-regulated profession in British Columbia. Another aspect presented in this work shows the effects of professionalization on the recruitment and status of teachers, with an example from Nova Scotia concerning gender discrimination.
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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 | 0.002 | 0.007 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".