Cross-Sectional Study of Self-Concept and Alexithymia among Hijra Community of Rohtak, Haryana
Bibliographic record
Abstract
Introduction: The Indian Hijra community encompasses persons with a variety of gender identities and sexual orientations, thus forming culturally unique gender group. The sociocultural aspects of Hijras have frequently been the subject of research by anthropologists and sociologists, but there is a dearth of data regarding the mental health problems in them. Methodology: The aim of the study was to assess the self-concept and alexithymia in Hijra community using Self-Concept Inventory and Toronto Alexithymia Scale-20 Hindi. Results: The study on thirty Hijras indicated that most of the individuals of Hijra community (96.7%) have low self-concept and only one had average self-concept. While 30% of the sample was nonalexithymics, 26.7% individuals had possible alexithymia and 43.3% were alexithymics. Self-concept was seen to be negatively correlated with alexithymia among individuals of Hijra community. Conclusion: The findings can help clinicians and policymakers to focus on the mental health awareness among these individuals.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".