Socio-Psychological Criteria of the Formation of Gender Stereotypes of Appearance
Bibliographic record
Abstract
The article considers the socio-psychological criteria for the formation of gender stereotypes of appearance. The priority of the study is implementing a system of criteria for gender stereotypes of appearance, taking into account the system of socio-psychological factors and gender-oriented forms of prevention of overcoming sexism and discrimination on the grounds of personality attractiveness. It is substantiated that social evaluation through physical criteria creates several psychological problems because the "physical self" is an essential component of the "self-concept" and one of the criteria of self-esteem. It is proved that the properties of gender stereotypes coincide with the social ones. They are the bearer of emotional and evaluative characteristics, taking into account the group of values associated with the ambivalence of ideas about another. A methodical approach to the assessment of gender stereotypes of appearance and personality is proposed, which allows determining the criteria of human well-being, taking into account discrimination factors, intrapersonal parameters of affective-negative perception of one's appearance and self-concept, as well as the aesthetic perception of identity. An assessment of socio-psychological factors of gender stereotypes of appearance, which is based on the methodological provisions of psychoanalysis and humanism, cognitive paradigm, dispositional theory, cross-cultural approach, and some sociological studies, is carried out. As an experiment on empirical verification of the stereotypes of appearance, their gender differences, and socio-psychological factors, a set of methods of psychological diagnosis is used, which allow determining indicators of stereotypes of appearance, self-esteem, and attitude to beauty; socio-psychological criteria for the formation of gender stereotypes of appearance. A methodology for assessing the criteria for improving the attitude of respondents to their own appearance by determining the level of self-esteem, satisfaction with appearance, awareness of gender differences in appearance, and the desire to improve their own appearance in case of discrimination has been developed and implemented.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".