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Record W2041258675 · doi:10.1080/01596300500143096

Gender, “Symbolic Domination”, and Female Work: The case of teacher education

2005· article· en· W2041258675 on OpenAlexafffundabout
Jo‐Anne Dillabough

Bibliographic record

VenueDiscourse Studies in the Cultural Politics of Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaConnaught FundUniversity of TorontoSpencer Foundation
KeywordsSociologyArgument (complex analysis)Symbolic powerGender studiesThe SymbolicIdeologyTeacher educationVisionPower (physics)PoliticsAssertionRepresentation (politics)State (computer science)PedagogyPolitical sciencePsychologyLawPsychoanalysisAnthropology

Abstract

fetched live from OpenAlex

In this article I explore the part played by liberal democratic ideology in the regulation of female work, in particular, the work of women teacher educators and contract researchers in British and Canadian teacher education departments. My goal is to examine the relationship between symbolic notions of female domesticity and service as they have been expressed in liberal understandings of the nation state across time, together with accounts of contemporary working life as described by differently positioned women workers in teacher education. Central to the argument I make is the assertion that women's work and its symbolic representation in teacher education constitute powerful symbolic elements in the ongoing regulation of women as non-citizens. In following the work of feminist political theorists and cultural sociologists, I also examine the cultural, material, and social power of historicized visions of the female as “domestic servant”, as daughter of the nation state, and as “deviant non-citizen” as they are reflected in the contemporary working lives of women teacher educators.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.189
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0450.076
Scholarly communication0.0130.006
Open science0.0020.009
Research integrity0.0040.005
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 head0.088
GPT teacher head0.466
Teacher spread0.378 · 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

Citations16
Published2005
Admission routes3
Has abstractyes

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