Gender, degree and professional identity differences amongst counselling psychologists in India
Bibliographic record
Abstract
The purpose of this study was to investigate potential differences between (a) men versus women practicing professional counselling, (b) master’s versus doctoral-level individuals practicing professional counselling and (c) professionals primarily labelling themselves to others as a ‘counselling psychologist’ versus another professional label. This study utilized data from 189 professionals across 27 states/territories in India. This study found four statistically significant differences between men and women, 11 between those with master’s degrees versus doctoral degrees, and nine between those who primarily identified as counselling psychologists versus those who identify differently. The information provided can be used by counselling psychologists, training programmes, clients seeking counselling services and those advocating for the profession to further their interests and advance counselling psychology in India. It can also be used by those seeking to find and select a counselling psychologist to work with, as well as those seeking to enter the profession.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".