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Record W4390047061 · doi:10.1080/00224499.2023.2293888

“I Was Worshiped and in Control”: Sugar Arrangements Involving Transactional Sex from the Perspective of Both Sugar Babies and Sugar Benefactors

2023· article· en· W4390047061 on OpenAlexaffabout
Kate B. Metcalfe, Lauren A. Cormier, Pascale J. Lacroix, Lucia F. O’Sullivan

Bibliographic record

VenueThe Journal of Sex Research · 2023
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsMount Allison UniversityUniversity of New Brunswick
Fundersnot available
KeywordsSugarPsychologySocial psychologyReputationDevelopmental psychologyMedicineSociologyFood scienceBiology

Abstract

fetched live from OpenAlex

Sugar dating arrangements involve an older partner (“sugar daddy/mommy”) who provides financial support to a younger partner (“sugar baby”) in exchange for intimacy. The current study recruited a U.S. and Canadian sample of sugar babies (n = 45) and sugar benefactors (n = 32) through social media sources to survey them about perceived power in their sugar arrangement, gender roles, and stigma. Sugar benefactors did not differ in perceived power from sugar babies, nor in endorsement of traditional gender roles or stigma. Directed content analysis analyzing open-ended responses about associated outcomes indicated that both partners placed strong emphasis on companionship despite the importance of sex within arrangements. Sugar babies reported that money drives participation, although arrangements fulfill other needs, such as pleasure. Other benefits include having an arrangement with clear boundaries and expectations. Disadvantages include concerns for safety, that being physical safety for babies, and reputation and being used for money for daddies. Notably, both groups perceived sugar babies as having equal or more power than sugar benefactors, although this was often attributed to sugar babies’ attractiveness and youth. Findings include insights from both babies and benefactors, and support perspectives that sugar dating is distinct from traditional sex work.

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)0.005
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 score0.083
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.121
GPT teacher head0.412
Teacher spread0.291 · 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

Citations8
Published2023
Admission routes2
Has abstractyes

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