Social transformation of gender and sexuality as viewed by I.S. Kon
Bibliographic record
Abstract
The article examines the influence of Igor Kon on many aspects of modern research in the field of gender and sexuality. The authors conclude that it was Igor Kon who identified several key trends describing the current state of gender order in sexuality, namely, individualization and pluralization of cultures and lifestyles. It seems that the better way to speak about sexuality is not to refer to single or “normative models” but about a set of sexualities. In the proposed work, the variety of combinations of different gender identities with a multitude of sexual preferences is shown on the example of the theory of sexual configurations proposed by Canadian researcher Sari van Anders. The article emphasizes that, as I. Kon warned, it is gender relations and sexuality that are currently at the center of the agenda, since many more serious social problems are extrapolated to them. Cultural and, in particular, gender diversity is perceived by many people as the threat of losing the most basic landmarks in an unpredictable and changeable world. The article provides examples of different types of public policy in relation to binary and non-binary gender categories in different countries of Europe, Asia and North America.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".