Bibliographic record
Abstract
This commentary summarizes the experience and learnings from a site visit in May 2008 to a drop-in centre for vulnerable women in downtown Cairo run by El-Shehab Institution for Comprehensive Development, which provides street outreach for the prevention of Sexually Transmitted Infection (STI). The Centre successfully provides services and support for women, many of who are displaced or refugees and are from the most marginalized areas in Cairo. Through a rights-based approach to the work, the Centre helps people living in the slums fight and win the right to access clean water, sewerage and electrical power in their communities. An individual-based approach to human rights is also used. In the last year El-Shehab have helped 67 women go to court and win their marriage rights from husbands who have abandoned them. Their approach is an example of a successful way to achieve access to basic health determinants.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.049 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".