Sexual orientation and gender identity (SOGI): tabulation report based on the 2015 round of the South African Social Attitudes Survey (SASAS)
Bibliographic record
Abstract
This report is one of the outputs associated with a programme of work commissioned by The Other Foundation and conducted by the HSRC's Democracy Governance and Service Delivery (DGSD) research programme on sexual orientation and gender identity (SOGI). A module of 32 questions capturing different aspects of sexual orientation and gender identity was developed and fielded as part of the twelfth round of the South African Social Attitudes Survey (SASAS) in the last quarter of 2015. The SASAS series has been administered by the HSRC on an annual basis since 2003. It is a nationally representative sample survey of adults aged 16 and older living in private residence. The long term aim of this survey programme is to construct an empirical evidence base that will track and explain the attitudes, beliefs and behaviour patterns of the country's diverse population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".