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Record W4234504571 · doi:10.32316/hse-rhe.v32i1.4811

Kirsty Robertson, Tear Gas Epiphanies: Protest, Culture, Museums

2020· article· fr· W4234504571 on OpenAlexaffvenueabout
Carly Ciufo

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsMcMaster University
Fundersnot available
KeywordsArtPolitical science

Abstract

fetched live from OpenAlex

Overall, this book represents a solid entry into the field of the history of citizenship education in the English-speaking world.Particularly strong is chapter 7 in which Jackson discusses the elimination of British history from the Ontario curriculum, signalling a rewriting of historical narratives centered around the British empire and a move to more inclusive and "multicultural" narratives.Canada was now placed at the center of the historical narrative and more attention paid to its relationship with the United States and its participation in international organizations such as the United Nations.While Jackson conclusively argues that a shift in national identity from British Imperialism to multiculturalism took place among those who made curricula and textbooks, what remains to be explored is to what extent these changes were experienced more broadly by Canadians and Australians.Also left to further exploration is the extent that educational trends within Ontario (which is mistakenly referred to as the "second most populous territory" (4) in Canada) can be used to represent those in all of English Canada, a country in which regional identities have historically prevailed.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.189
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.117
GPT teacher head0.341
Teacher spread0.224 · 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 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

Citations0
Published2020
Admission routes3
Has abstractyes

Explore more

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