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Record W2154157986 · doi:10.1080/1359866x.2014.933472

“Free yourself, sister!”: teacher identity, subjection, and the psyche

2014· article· en· W2154157986 on OpenAlexaff
Melanie D. Janzen

Bibliographic record

VenueAsia-Pacific Journal of Teacher Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Philosophies and Pedagogies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsycheIdentity (music)Subject (documents)Context (archaeology)SociologySituatedPsychoanalytic theoryPower (physics)PsychoanalysisPedagogyPsychologyAestheticsPhilosophyLibrary science

Abstract

fetched live from OpenAlex

AbstractTeachers are caught in a tug of war between what they are supposed to be and who they are trying to become. The teaching subject, striving to be recognisable, is socially constructed and discursively constituted through ongoing relations with power – an identity essentially determined in advance. What is it to live – to become, as teacher – in this space? It is in this theoretical context in which this research is situated; acknowledging the discursive construction of the teaching subject in order to consider who teachers are, who they are allowed to be, and who they are allowed to become. Drawing on an empirical example, I will explore the post-structural theories of subjection and psychoanalytic perspectives of the psyche in order to illustrate and conceptualise the struggle in being and becoming a teacher.Keywords: post-structuralismpsychoanalytic theorysubjectionteacher becomingteacher identity Notes1. This research project received ethics approval from the University of British Columbia, Office of Research Services (Behaviour Research Ethics Board # H08-02166).2. All participants in this study provided informed consent and are referred to with pseudonyms.Additional informationNotes on contributorsMelanie D. JanzenMelanie D. Janzen is a graduate of The University of British Columbia and is interested in research related to teacher identity, becoming, and responsibility.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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)0.0000.000

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 head0.035
GPT teacher head0.359
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations7
Published2014
Admission routes1
Has abstractyes

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