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Record W2471333196 · doi:10.29173/css149

Embracing Ambiguity in the Artefacts of the Past: Teacher Identity and Pedagogy

2004· article· en· W2471333196 on OpenAlexvenueno aff
Lisa Barty

Bibliographic record

VenueCanadian Social Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsAmbiguitySocial studiesIdentity (music)PedagogySociologyMathematics educationTeacher educationTeaching methodPsychologyLinguisticsAestheticsArt

Abstract

fetched live from OpenAlex

In this paper, the author considers the correlation between the construct of teacher identity and pedagogical choice, with specific reference to secondary social studies teachers and their use of primary sources in the classroom. After a brief review of the benefits and challenges of using primary sources in the classroom, the author concludes that the more pervasive challenge to using primary sources is pedagogical rather than pragmatic, and that pedagogy is intrinsically linked to teacher identity formation. The literature suggests that the construct of teacher identity is influenced by many factors, from individual experience and teacher training, to socio-cultural discourses relating to nationalism. The article concludes with a variety of suggestions of ways in which teacher educators can promote both reflective pre-service teaching, and encourage wider use of primary sources in social studies classrooms as an effective pedagogical strategy in an increasingly global society.

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)0.010
metaresearch head score (Gemma)0.017
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0120.051
Scholarly communication0.0180.012
Open science0.0010.009
Research integrity0.0020.003
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 head0.179
GPT teacher head0.430
Teacher spread0.251 · 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

Citations18
Published2004
Admission routes1
Has abstractyes

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