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Record W2740853649 · doi:10.3138/cjhs.262-a6

The interface between young adults' religious values and their sexual experiences before age 16

2017· article· en· W2740853649 on OpenAlexaffvenueabout
Camille Garceau, Scott T. Ronis

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyHuman sexualityWrightSocial psychologyMultitudeDevelopmental psychologyTheme (computing)Qualitative researchIdentity (music)Gender studiesSociology

Abstract

fetched live from OpenAlex

The interface between religious upbringing and sexuality has been examined extensively in previous research, demonstrating that religious doctrine affects sexual behaviour and identity in a multitude of ways (Dahl & Galliher, 2012; Rostosky, Wilcox, Wright, & Randall, 2004). However, because most of the evidence comes from quantitative survey research, it has been difficult to understand how individuals perceive the links between religious influences and their sexual experiences and identities. The current study used semi-structured, qualitative interviews with 50 Canadian university students who had reported engaging in sexual experiences before the age of 16 to broadly assess these early experiences. A prominent theme emerged in 13 participants' interviews regarding how religious values were perceived to play a role in their understanding of their sexual experiences before age 16. These participants generally reported experiencing emotions, such as guilt and fear, as a result of discrepancies between religious values and their own sexual experiences. Our findings also illustrate how participants dealt with such discrepancies, namely by disengaging from their identified religions, incorporating certain teachings and rejecting others, or pursuing religion for support. Implications for how individuals should manage the interplay between religion and sexuality as well as for how professionals and caregivers should help address such discrepancies are discussed.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.692
Threshold uncertainty score0.612

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.377
Teacher spread0.327 · 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

Citations9
Published2017
Admission routes3
Has abstractyes

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