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Record W2767518751 · doi:10.32316/hse/rhe.v29i2.4571

John Allison, A Most Canadian Odyssey: Education Diplomacy and Federalism, 1844-1984

2017· article· en· W2767518751 on OpenAlexaffvenueabout
Ryan Touhey

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of WaterlooSt. Jerome's University
Fundersnot available
KeywordsDiplomacyFederalismPolitical sciencePublic administrationEconomic historyLawHistoryPolitics

Abstract

fetched live from OpenAlex

L'ouvrage rsulte d'une slection opre parmi les communications prsentes au symposium international qui s'est tenu Sville en septembre 2015. L'ide qui le sous-tend est que la mmoire ou les mmoires de l'cole constituent, comme l'cole elle-mme, un objet digne de recherches historiques, pour deux raisons au moins. S'intresser aux souvenirs sur l'cole permet d'abord d'aller au-del de ce que nous apprennent les sources classiques, institutionnelles ou livresques, sur les matres, les lves et les programmes : ce sont les expriences et le vcu, individuels et collectifs, que ces souvenirs peuvent en effet rendre plus prcisment sensibles. Dans sa dimension collective, cette mmoire est aussi le produit d'une construction sociale, qui la nourrit de reprsentations et de strotypes pouvant eux-mmes contribuer orienter les dcisions et les choix touchant au prsent et l'avenir de l'cole. ce titre, elle possde une dimension politique qui mrite d'tre analyse en tant que telle. Dix-huit communications illustrent, prcisent ou enrichissent la problmatique ainsi rsume, par des tudes de cas empruntes l'histoire de l'cole contemporaine dans diffrents pays d'Europe, essentiellement du Sud et de l'Est : Italie (7), Espagne (3), Grce, Roumanie, Hongrie, Bosnie, Slovnie, Russie, Angleterre, une dernire tant transnationale. Pour l'essentiel, elles adoptent deux grandes approches.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.579
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.001
Scholarly communication0.0010.001
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 head0.076
GPT teacher head0.356
Teacher spread0.279 · 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

Citations3
Published2017
Admission routes3
Has abstractyes

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