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Record W3133203056 · doi:10.1080/0092623x.2021.1888830

I Want You to Want Me: A Qualitative Analysis of Heterosexual Men's Desire to Feel Desired in Intimate Relationships

2021· article· en· W3133203056 on OpenAlexaff
Sarah H. Murray, Lori A. Brotto

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2021
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFeelingPsychologyThematic analysisHeterosexualityRomanceSexual orientationSexual attractionSexual behaviorQualitative researchDevelopmental psychologySocial psychologySexual desireHuman sexualityHomosexualityGender studiesSociologyPsychoanalysis

Abstract

fetched live from OpenAlex

Current sexual scripts for heterosexual relationships in the Western world stipulate that men should be the ones to initiate sexual activity, push to the next level of physical intimacy, and to desire women (and not be desirable themselves). However, there is building evidence that sexual scripts and gender roles are not only limited, they may be evolving and shifting over time. The purpose of the current study was to explore the degree to which feeling desired is considered important to heterosexual men in intimate relationships as well as how heterosexual men feel desired by their partners. Three hundred men between the ages of 18 and 65 were recruited from the online platform Reddit. Using Thematic Analysis, we determined that the vast majority of men in this study felt that feeling desired was very important to their sexual experiences. Men in this study listed several ways they felt desired, many that fell outside of traditional gender roles such as romantic, non-sexual touch and having women initiate sexual activity. The findings add to a growing body of literature which suggests traditional sexual scripts for heterosexual men may be limiting and not accurate for all men's sexual experiences.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.126
GPT teacher head0.426
Teacher spread0.300 · 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

Citations16
Published2021
Admission routes1
Has abstractyes

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