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Record W2168449602 · doi:10.32316/hse/rhe.v20i2.508

Brian Noonan, Dianne Hallman, and Murray Scharf (Eds.) A History of Education in Saskatchewan: Selected Readings.

2008· article· en· W2168449602 on OpenAlexaffvenueabout
J Calam

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Since the time of Alexander Pope whose Dunciad alleged that indiscriminate studies "stuffed the head / With all such reading as was never read," editors of collected essays in education have published at some risk.To be sure, editorial dexterity and authorial clout sometimes lent the better specimens of this genre the intellectual allure and contextual fit they deserved.Their less persuasive counterparts, alas, were more frequently written off in academe as exercises in butterfly-catching, lucky dips, or additives to students' lecture notes.Mercifully, no such detractions apply to A History of Education in Saskatchewan.In this last respect, editors and contributors alike resist the urge to ride madly off in all directions.Stemming from a University of Saskatchewan anniversary conference, this volume emerges as a selection winnowed to "three natural themes," notably, building the state; schooling and culture; and teachers and teaching.Authors enjoy a comfortable division of labour.Similarly, an introduction, sectional prefaces, bountiful endnotes, information on contributors, a bibliography, and a workable index unite to assist readers in navigating the main text and familiarizing themselves with associated scholarship.Other such consolidating factors include the currency of educational issues at stake and a marked revisionist thrust throughout.As well, writers conceive of Saskatchewan's educational challenges as resonating both Canadawide and internationally.Within this framework, Murray Scharf 's historical overview deals adroitly with relevant educational legislation, its promulgators, and a disparate rural population intimately acquainted with environmental, economic, ethnic, religious, and linguistic realities.In the same sense, Brian Noonan's thorough account of Saskatchewan

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.293
Teacher spread0.242 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2008
Admission routes3
Has abstractyes

Explore more

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