Amor em tempos de aplicativos: masculinidades heterossexuais e a negociações de afetos na nova economia do desejo
Bibliographic record
Abstract
The dissertation aims to expand my ethnography in digital media with men seeking sexual and affective encounters outside of marriage, using specialized websites that promise secrecy and security, as well as adventure and emotion. In that survey. I focused on the Canadian website Ashley Madison. It was a research that sough to think about contemporary conjugalities, but that led to discussions on sexuality and desires, to which were added the negotiations in the field of gender relations, in a scenario market by incitement to adventure and consumption of emotions, leading me to pay attention to the constitution of contemporary masculinities in the face of the demands. To this new key of entry, it was added the enlarged use of applications for smartphones as a resource of insertion in the competitive market of the affections. Therefore, I sough to undestand how heterosexual adult men belonging to the middle and lower middle class have been negotiating sex and love with their potential partners, how they have been dealing with gender relations that cross these contacts in the present, and how, in these digital intermediations, they perform, update and tension models of masculinities. Thus, the main objective of this dissertation was to understand how these communicational resources have influenced the form in which these men, born between 1995, understand and perform their own maculinity, ruled by the logic of romantic consumption, in the sphere of affective capitalism, when they are incited to mobilize specific ways of relationg, not always coherent with those learned in analogic media. Among the findings of this work there is the confirmation of previous reseachers that showed the transposition of vocabulary borrowed from the world of precarious work and intensified consumption to the field of affection. The romantic utopia of the hereosexual pair is confronted with the incitement to... (Complete abstract electronic access below)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".