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Record W2014436268 · doi:10.1080/15299716.2011.620844

Still Sitting on Fences: Reflections on “Overstepping the Bounds: Bisexuality, Gender, and Sociology”

2011· article· en· W2014436268 on OpenAlexaffabout
Michelle Owen

Bibliographic record

VenueJournal of Bisexuality · 2011
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsQueerTransgenderSociologyContext (archaeology)Gender studiesPoliticsWonderIdentity (music)Power (physics)DemocracyTerminologyHuman sexualityLawPsychologyPolitical scienceAestheticsSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

In this paper I critically reflect on “Overstepping the Bounds,” an essay I wrote for the Journal of Bisexuality in 2003 (Volume 3, Number 2, 2003). I conclude that, while much has changed in my own life and the wider world over the last decade, there is still work to be done at the intersection of bisexuality, gender and sociology. I consider, in this regard, the impact of same-sex marriage in Canada, the legal struggle over polygamy, and the rise of transgender, queer and intersex politics. I also ponder the concept of bisexual identity in the (post)modern-day context. While a greater awareness of non-heterosexual relationships has had a positive effect, some queer people are deemed more acceptable than others. Bisexuals continue to occupy marginalized positions and misperceptions about bisexuality thrive. I am disappointed by this lack of progress but wonder if the terminology is outmoded. Perhaps a better indicator would be number of people who embrace “queer” and “questioning,” or rejecting labels altogether. I end by reviewing the texts I investigated in the original essay for information pertaining to bisexuality. I still believe that bisexuality is about choice and, as such, has the power to denaturalize and destabilize categorization.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.408
GPT teacher head0.478
Teacher spread0.070 · 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 designObservational
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

Citations3
Published2011
Admission routes2
Has abstractyes

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