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Record W2622020311

Time, Labour, Texts: New English Teachers' Selective Use of Instructional Documents

2017· article· en· W2622020311 on OpenAlexaboutno aff
Robert Jean LeBlanc

Bibliographic record

Venue˜The œinternational journal of critical pedagogy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomySociologyPedagogyMathematics educationLanguage artsThe artsPsychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this article is to examine how new Saskatchewan secondary school English Language Arts teachers, under the pressure of substantial time demands, make decisions about what texts and corresponding instructional practices to use in their classrooms. The intent of this analysis is to understand why new English Language Arts teachers regularly reuse curricular materials from their colleagues and embed them in instructional practices that often run counter to their espoused philosophies of education. My analysis of this process of the reproduction of texts and practices in new teachers’ classrooms is anchored in a critical sociological perspective of schooling. I examine the relation between seemingly liberal provincial policies of teacher autonomy and curricular implementation, the role of time demands on the use of curricular materials, and the connection between the need for resources and structural demands on teacher work. I conclude by arguing the need for further research into the circulation of physical resources in schools and their impact on teacher instruction.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.426
Teacher spread0.353 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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