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A Review of Selected Materials in the Educational History of Western Canada: Opportunities for Further Research

2018· review· en· W291205694 on OpenAlexaboutno aff
J. Stewart Hardy

Bibliographic record

VenueJournal of educational thought. · 2018
Typereview
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEducational researchPsychologySociologyPedagogySocial scienceEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

The study of the history of education in Western Canada presents educational historians, particularly those interested in reinterpretation and revision, with almost unlimited opportunities. The majority of the relatively small number of publications in this field, a few provincial histories and a small number of articles scattered through the periodicals, tend to glorify past educational achievements as logical steps in the inevitable march of the progress of schooling. Given the quickening interest in "new" interpretations of educational history which this journal has witnessed in the past five years it would appear that the history of education in Western Canada is open to revision. Writing on the historiography of education in the United States Patricia Rooke opened the way for subsequent articles by Donald Wilson and David Jones which examined the subject in Canadian context. 1 Wilson and Jones indicated the revisionist advances made in Ontario and there is evidence to suggest that a similar trend is under way in Western Canada.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.474
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0200.037
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.305
GPT teacher head0.444
Teacher spread0.139 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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