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Record W7132946838

Unlocking the many 'voices' of subject English: a historical and theoretical analysis of English curricular change in Newfoundland and Labrador

2005· dissertation· W7132946838 on OpenAlexaboutno aff
Gregory William O'Leary

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)NothingCurriculumHistory of EnglishNational curriculumEnglish studies
DOInot available

Abstract

fetched live from OpenAlex

This thesis is a critical and effective historical analysis of subject English in the province of Newfoundland and Labrador. Another recent massive policy shift in subject English in Newfoundland and Labrador, and the fact that nothing had been put in print regarding this topic, provided the impetus for an investigation of the ways in which curriculum comes to be construed and often justified around competing conceptions of epistemology. Through a problematized notion of knowledge, I analyzed senior English curricular documents from three distinct periods in the province's history, providing a glimpse of a pre, post and present day Confederation English classroom. Through a close, "symptomatic reading" of the patterns and import of carefully selected episodes within subject English's history in the province, I was able to cast new light on the interactions between past epistemological and pedagogical discourses and consider how these voices might still speak to us today.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.077
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0110.015
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.371
Teacher spread0.340 · 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
Published2005
Admission routes1
Has abstractyes

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