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Record W2902663827 · doi:10.22215/etd/2017-11961

Sugar Babies and Sugar Daddies: An Exploration of Sugar Dating on Canadian Campuses

2017· dissertation· en· W2902663827 on OpenAlexaffabout
Sarah E. Daly

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsCarleton University
Fundersnot available
KeywordsSugarAgency (philosophy)Context (archaeology)PerceptionQualitative researchPsychologySociologyGeographySocial scienceFood scienceBiologyArchaeology

Abstract

fetched live from OpenAlex

This thesis contributes to a small body of research that examines the 'sugar baby phenomenon' in a Canadian context.To date, most of what is known about sugar babies' experiences is through anecdotal accounts filtered through the media.By drawing on the content of one popular sugar baby forum, as well as data gathered from two in-depth qualitative interviews with two active sugar babies, this thesis explores the lived experiences and perceptions of the participants.In particular, this study seeks to determine whether sugar babies articulate shared motivations; how they navigate sugar dating's blurring of traditional romance and sex work; and how they exercise power and agency within their relationships.Key findings are that sugar dating's blend of conventional dating and sex work creates a new conceptual space that both enhances the degree of power and agency exercised by sugar babies, and constrains it in ways both traditional and novel.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0390.014
Scholarly communication0.0070.003
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.090
GPT teacher head0.362
Teacher spread0.272 · 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 designQualitative
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

Citations13
Published2017
Admission routes2
Has abstractyes

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