2018 Canadian History of Education Association / L'Association canadienne d'histoire de l'éducation (ACHÉ / CHEA) Award Recipients
Bibliographic record
Abstract
The Canadian History of Education Association awarded its biennial publication prizes at its 2018 conference held in Fredericton, New Brunswick, from October 18–21. The awards cover the period from 2016–2018. L’Association canadienne d’histoire de l’éducation a décerné ses prix bisannuels lors de son congrès tenu à Fredericton, Nouveau-Brunswick, du 18 au 21 octobre 2018. Ces récompenses couvrent les années 2016–2018. Meilleur ouvrage ou anthologie en langue française / Best French-language book or anthology Séguin, François. D’obscurantisme et de lumières: La bibliothèque publique au Québec des origines au 21e siècle. Montréal: Hurtubise, 2016. Best English-language book or anthology / Meilleur ouvrage ou anthologie en anglais Alexander, Kristine. Guiding Modern Girls: Girlhood, Empire, and Internationalism in the 1920s and 1930s. Vancouver: UBC Press, 2017. Honourable Mention: English-language book or anthology / Mention honorable pour ouvrage ou anthologie en anglais Vipond, Robert. Making a Global City: How One Toronto School Embraced Diversity. Toronto: University of Toronto Press, 2017. Meilleur article ou chapitre inédit en langue française n’a pas été attribué cette année. / Best French-language article or original chapter was not awarded 2016–2018. Best English-language article or original chapter / Meilleur article ou chapitre inédit en langue anglaise Battell Lowman, Emma. “Mamook Kom’tax Chinuk Pipa/Learning to Write Chinook Jargon: Indigenous Peoples and Literacy Strategies in the South Central Interior of British Columbia in the Late Nineteenth Century.” Historical Studies in Education/Revue d’histoire de l’éducation 29, no.1 (Spring, 2017): 77–98. Cathy James Memorial Dissertation Prize / Le Prix commémoratif Cathy James Aladejebi, Funké. ‘Girl You Better Apply to Teachers’ College’: The History of Black Women Educators in Ontario, 1940s–1980s. Unpublished doctoral dissertation, York University 2017. Distinguished Contribution Prize/Prix pour une contribution exceptionnelle At its 2010 biennial conference, the CHEA/ACHÉ established the Distinguished Contribution Award to be presented to individuals “who have made a distinguished contribution to scholarship in the history of education over their careers and/or to the work of CHEA/ACHÉ.” The 2018 recipient of the award was Bruce Curtis, Carleton University. Lors de son congrès biennal de 2010, l’ACHÉ/CHEA a créé un prix pour souligner une contribution exceptionnelle à être décerné à des individus « qui ont apporté une contribution remarquable aux connaissances en histoire de l’éducation durant leur carrière ou leur implication dans l’ACHÉ/CHEA. » Le récipiendaire pour l’année 2018 était Bruce Curtis, Carleton University.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: yes | Not applicable | low |
| gpt | no category Domain: not available · Genre: Editorial About the Canadian research system: yes · About a Canadian topic: yes | Not applicable | low |
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.146 | 0.026 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".