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Record W4313649660 · doi:10.1080/26895269.2022.2164101

Examining the prevalence of trans phantoms among transgender, nonbinary and gender diverse individuals: An exploratory study

2023· article· en· W4313649660 on OpenAlexaff
S. J. Langer, Taymy J. Caso, Louisa Gleichman

Bibliographic record

VenueInternational Journal of Transgender Health · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTransgenderFeelingGender dysphoriaImaging phantomPsychologyExploratory researchInclusion (mineral)Anal sexClinical psychologyDevelopmental psychologyMedicineSocial psychologyHuman immunodeficiency virus (HIV)Family medicineMen who have sex with menSociology

Abstract

fetched live from OpenAlex

Background: Trans phantoms are bodily sensations of gendered body parts that a person was not born with (i.e., a phantom penis experienced by a trans man, or a phantom vagina experienced by a trans woman). This is distinct from the experience of many transgender and gender diverse (TGD) people, who experience awareness of their bodies as missing a gendered body part, or configuration, which is a major characteristic of gender dysphoria. Aims: Our purpose was to gain greater understanding of the prevalence and quality of trans phantoms. Methods: Data was gathered through a brief, online survey on trans embodiment. Respondents who had both completed the survey, and were deemed appropriate for inclusion in the study, based on their survey responses, comprised our sample of 1,446 adults. Results: Results indicated that trans phantoms are a typical embodied experience of TGD people. Almost 50% of study participants reported experiencing a trans phantom, most of whom also reported feeling erotic sensation in their phantom. Conclusions: Though the phenomenon of trans phantoms is not universal, it is clearly one that warrants further 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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.251
GPT teacher head0.450
Teacher spread0.198 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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