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Record W3083155322 · doi:10.1037/fam0000796

Sanctification or inhibition? Religious dualities and sexual satisfaction.

2020· article· en· W3083155322 on OpenAlexaff
Nathan D. Leonhardt, Dean M. Busby, Veronica Hanna‐Walker, Chelom E. Leavitt

Bibliographic record

VenueJournal of Family Psychology · 2020
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSanctificationPsychologySocial psychologyDevelopmental psychologyTheology

Abstract

fetched live from OpenAlex

= 481 dyads, Study 2). Religiosity consistently had a positive indirect association with sexual satisfaction through sexual sanctification; little evidence suggested religiosity had an indirect association with sexual satisfaction through inhibited sexual passion. When accounting for these mechanisms simultaneously, however, religiosity consistently had a negative direct association with sexual satisfaction, supporting the possibility of religious dualities. In the couple study, men's religiosity predicted their partner reporting higher sexual sanctification (for married couples), but women's religiosity did not predict partner sexual sanctification. Altogether, these results paint a complex picture for how religiosity might influence sexuality. Understanding the nuance of these results may help people maximize the potential benefits of their belief systems in sexual relationships. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.144
GPT teacher head0.383
Teacher spread0.240 · 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

Citations19
Published2020
Admission routes1
Has abstractyes

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