Bibliographic record
Abstract
Foreword - Maria Verhoeven Introduction - Ranjani K Murthy PART ONE: ISSUE-SPECIFIC GENDER TRAINING To Be or Not to Be - Sabala and Kranti A Self-Help Experience in Women's Reproductive Health Transformative Training - Nitya Rao An Experiment in Pudukottai Microenterprise Promotion for Women in a Traditional, Male-Controlled Sector - Frances Sinha The Silk Industry Project in Karnataka and West Bengal 'God Sits on Our Throat and Tells Us to Discriminate against Girls' - Adithi An Experience with Gender Sensitiation of Inland Men and Women Fishworkers Empowering Women in Gram Panchayats through Training - F Stephen Grassroots Training through Satellite Technology - Ammu Joseph PART TWO: EXISTENTIAL GENDER TRAINING Windows to the Outside World - Asmita Experiences in Gender Training in Hyderabad Slums Enhancing the Negotiating Power of Women within Families through Process Work - R Mohanraj and Lakshmi Raman Under the Guise of a Tailoring Programme - A Gandhimathi DAWN's Experience in Gender Sensitization of Adolescent Girls PART THREE: NON-TRAINING AND INSTITUTIONAL STRATEGIES FOR CAPACITY BUILDING OF WOMEN Being True to Feminism - B K Anitha and Anita Gurumurthy The Methodology of the Status of Rural Women in Karnataka Mainstreaming Gender in Participatory Technology Development - Edith van Walsum and Rama Devi Kolli Dynamics between Farmers Groups, NGOs and a Support Organization in South India Empowerment from Below - Prema Gopalan Self-Education and Empowerment of Grassroots Women's Collectives (Up)Lifting Water and Women or Lip Service Only? - Nelleke van der Vleuten The Gender Dimension of a Lift Irrigation Programme Gender, Organizations and Change - Shobhita Rajagopal and Kanchan Mathur Lessons from Gender Training of Community-Level Education Workers 'Being There Was an Important Accident' - Shubha Chacko Rethinking Assumptions Based on Grassroots Experiences PART FIVE: LOOKING AHEAD Lessons on Capacity Building for Women's Empowerment - Ranjani K Murthy
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.050 | 0.004 |
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".