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Record W3005643098 · doi:10.4324/9780429019913-2

Bisexuality, (non)religion and spirituality in Canadian young adults

2020· book-chapter· en· W3005643098 on OpenAlexaboutno aff
Heather Shipley, Pamela Dickey Young

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualityPsychologyReligious studiesHistorySociologyGender studiesPsychoanalysisMedicinePhilosophyAlternative medicine

Abstract

fetched live from OpenAlex

Using data from a mixed-methods study of sex, gender and religion in young adults in Canada, we examine the identity constructions and negotiations of our self-identified bisexual respondents, especially in relation to their (non)religious/spiritual identities. Bisexual respondents from the Religion, Gender and Sexuality among Youth in Canada (RGSY) project demonstrate complex intersections of identities as experienced by individuals and groups marginalized at times both within sexual minority communities and within larger social and cultural spheres. This chapter explores how bisexuality is related to other constructions of sexual identity, as compared with the full cohort of respondents on the project. The experiences of bisexual (non)religious and spiritual young people reside at the margins; their experiences are largely misunderstood and the prescriptive social expectations placed on all young people overlook individuals whose sexuality is seen at times both as normative (when in heterosexual relationships) and non-normative (when in same-sex relationships). Young people’s sexual and religious identities are a rapidly expanding research area; this chapter contributes to this growing body of knowledge by considering the ways bisexual young people in the RGSY project understand, negotiate and construct their sexual identity in relation to other identity markers.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.047
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0100.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.040
GPT teacher head0.347
Teacher spread0.307 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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