MétaCan
Menu
Back to cohort
Record W4382771746 · doi:10.1093/mind/fzac071

What Is It like to Have a Gender Identity?

2023· article· en· W4382771746 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMind · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSubjectivityIdentity (music)Gender identityGender psychologyPsychologyIdentity formationSocial psychologyEpistemologySociologyGender studiesSelf-conceptAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract By attending to how people speak about their gender, we can find diverse answers to the question of what it is like to have a gender identity. To some, it is little more than having a body whereas others may report it as more attitudinal or dispositional—seemingly contradictory views. In this paper, I seek to reconcile these disparate answers by developing a theory of how individual gender identity comes about. In the simplest possible terms, I propose that gender identity is how we make sense of our gender subjectivity, the totality of our gendered experiences of ourselves. Gender identity is constituted by gender subjectivity, but this constitutive relationship is underdetermined. While gender subjectivity may narrow the range of inhabitable gender identities, it is always compatible with more than one. To arrive at a gender identity, we arrange gender subjectivity like building materials. My theory helps us understand how different people offer seemingly incompatible accounts of their gender identity without questioning their authenticity or validity. They simply arrange similar building materials differently.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.010

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 head0.103
GPT teacher head0.315
Teacher spread0.212 · 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