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Record W4297861334 · doi:10.3102/1583963

The Life and Politics of Passing: Gender, Professionalism, and the Queer Teacher

2020· article· en· W4297861334 on OpenAlexaffabout
Jamie E. Anderson

Bibliographic record

VenueProceedings of the 2020 AERA Annual Meeting · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsQueerPoliticsGender studiesSociologyComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

There is a dearth of research that considers how discourses of professionalism intersect with gender and sexual diversity for lesbian, gay, bisexual, transgender, and intersex (LGBTI) teachers in a Canadian context.The Alberta Teachers' Association released its first resource aimed to support LGBTI teachers in early 2018, suggesting that gender and sexually diverse teachers are just starting to gain visibility within their professional organization.Through autoethnography, Institutional Ethnography, and Critical Discourse Analysis, this thesis examines how LGBTI teachers experience and perform their gender in response to conceptualizations of teacher professionalism that dictate queerness-particularly "visible" queerness-as contrarian to the neutral subjectivity that teachers are expected to uphold.With the growing relevance of queer-affirming spaces in school, such as Gay-Straight or Queer-Straight Alliances, it is necessary to examine possibilities of a queer professionalism and changing expectations for professional practice in queer spaces.LGBTI teachers in Alberta need more than recognition from their professional organization and this research begins to conceptualize a queer professionalism for teachers that breaks the bounds of heteronormativity in order to support and celebrate gender and sexual diversity broadly within Canadian schools.

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)0.007
metaresearch head score (Gemma)0.008
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 score0.738
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0330.070
Scholarly communication0.0130.005
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.302
Teacher spread0.269 · 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
Published2020
Admission routes2
Has abstractyes

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Same venueProceedings of the 2020 AERA Annual MeetingSame topicGender Studies in LanguageFrench-language works237,207