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Record W7025577087

Where have all the Canadians gone? : frame resonance, transformation and institutionalization of the Canadianization movement, 1968-1985

2000· dissertation· en· W7025577087 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2000
Typedissertation
Languageen
FieldPsychology
TopicEducation, Healthcare and Sociology Research
Canadian institutionsnot available
FundersMcGill University
KeywordsSocial movementMovement (music)InstitutionalisationFrame (networking)PoliticsFrame analysis
DOInot available

Abstract

fetched live from OpenAlex

Social movements are an understudied aspect of Canadian society. This thesis is an attempt to address this general lacuna by examining the social movement efforts of Canadian cultural nationalists during the 1960s and 1970s, as they struggled to build a strong, vibrant Canadian cultural community. Four social movement based questions guide the analysis. First, why did the Canadianization movement begin when it did? Second, how did the movement transform itself for long-term survival? Third, what kinds of mobilizing structures did the movement make use of, and what influence did these structures have on the movement's activities? And finally, how did the movement maintain itself in times when the political and media climate was unreceptive? This thesis addresses these questions with the combined use of data collected from archival sources as well as twenty-two interviews. The case of Canadianization permits us to empirically document the actions that organizational intellectuals take in pushing for social and cultural change, an aspect of the social movements literature that, until now, has been largely only theorized about.

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)0.007
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 score0.201
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0340.025
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.319
Teacher spread0.291 · 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

Citations1
Published2000
Admission routes2
Has abstractyes

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