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Record W4389443301 · doi:10.1017/heq.2023.54

From Missionary Zeal to Holiday Appeal: Summer School, Professionalization, and Teachers in Canada, 1915-1959

2023· article· en· W4389443301 on OpenAlexaffabout
Scott McLean

Bibliographic record

VenueHistory of Education Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsProfessionalizationAttendanceBachelorSociologyAppealQueen (butterfly)Professional developmentPedagogyThe artsMedia studiesPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Abstract For over forty years, presidents of the Summer School Association of Queen’s University wrote annually to teachers across Canada, encouraging them to attend summer courses for credit toward a bachelor of arts. In the 1920s, presidents’ messages associated attendance with societal progress and the professionalization of teaching. In the 1930s, such messages linked attendance with personal growth and career development. In the 1940s and 1950s, they linked attendance with having an enjoyable summer vacation. This article analyzes how and why these messages evolved and argues that the underlying structure of the messages remained consistent: they were means through which Queen’s Summer School Association presidents marked symbolic boundaries between more and less professional teachers. This article contributes to our understanding of the social history of teacher education by interpreting a unique primary data source to explore the participation of teachers themselves in the construction of symbolic boundaries marking professional status.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.870

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.007
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.030
GPT teacher head0.326
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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