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Record W1773060791

“I Am Not Alone in This” : An Ethnographic Exploration of Transgender Community in Calgary, Alberta, Canada

2012· article· en· W1773060791 on OpenAlexaboutno aff
Elizabeth Courtney Cameron

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2012
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQueerTransgenderGender studiesEthnographySociologyQueer theoryPerspective (graphical)Anthropology
DOInot available

Abstract

fetched live from OpenAlex

This thesis focuses on membership and participation in transgender (and, by extension, queer) communities in Calgary, Alberta, Canada. It is informed by queer feminist theories of gender as well as anthropological theory and methodology and is based on a two month fieldwork period with particular reliance on semi-structured interviews. It explores participants’ experiences of gender policing and transgressing heterosexual norms as well as their experiences with taking part in trans and queer communities in contemporary Calgary. Further, it advances a critical perspective on ideas of transgender as a singular homogenous category or community and calls attention to gaps between queer theories of gender and the lived experiences of trans folk. Finally, it suggests how anthropological methodology could be helpful in addressing these problems and how a greater anthropological engagement with queer and transgender studies could be fruitful for both areas of study.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.077
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0450.013
Scholarly communication0.0060.002
Open science0.0040.005
Research integrity0.0020.003
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 head0.062
GPT teacher head0.307
Teacher spread0.245 · 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
Published2012
Admission routes1
Has abstractyes

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