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Historical Consciousness and the Structuring of Group Boundaries: A Look at Two Francophone School History Teachers Regarding Quebec’s Anglophone Minority

2012· article· en· W1754876198 on OpenAlexaffabout
Paul Zanazanian

Bibliographic record

VenueCurriculum Inquiry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsConcordia University
Fundersnot available
KeywordsAgency (philosophy)Context (archaeology)SociologyNegotiationConsciousnessPoliticsEpistemologyPedagogyGender studiesSocial sciencePolitical scienceLawHistory

Abstract

fetched live from OpenAlex

This article looks at the impact of historical consciousness on the structuring of group boundaries among national history teachers within Quebec’s context of group duality between Francophones and Anglophones. By using an “open‐ended interpretation key” for taking into account how teachers interact with temporal change for negotiating their ethno‐cultural agency toward the Other, this article specifically focuses on the different understandings that two teachers of the Franco‐Québécois majority develop from the past for knowing and engaging with the Anglo‐Québécois. By grasping whether they recognize the latter’s moral and historical agency in time, the degree of both educators’ sensitivity to Anglophone social realities and historical experiences become clear, as do their willingness to transmit such information to their students. On the whole, despite demonstrating a more or less equal capacity to develop plausible‐like understandings of the past, both teachers offer two diverging attitudes for dealing with the Other, which ultimately reflect two main opposing social discourses over how to properly confront memories of the “French–English Conflict.” Given the potential burden of these debates on how teachers (and students) historicize inter‐group realities, the article ends with proposing a means of teaching history that fosters the development of autonomous and conscientious engagements with the past. Not only does this approach entail respecting differences in opinions and choices, but also highlights the potentials of embracing change for improving the quality of common future life.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0510.018
Scholarly communication0.0080.003
Open science0.0030.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.320
Teacher spread0.268 · 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

Citations27
Published2012
Admission routes2
Has abstractyes

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