List of People Interviewed for the Book
Bibliographic record
Abstract
We are hugely grateful to all the people who participated in interviews for the book. They reflect a cross section of leaders, activists and allies who were involved in the campaign and negotiations for C190 and R206. Interviews were carried out between September 2020 and March 2021. ILO Maria Helena André, director, ILO ACTRAV Jane Hodges, former director, ILO Bureau for Gender Equality Shauna Olney, former director, ILO GED/ILOAIDS Catelene Passchier, chair, Workers’ Group; vice-chair, ILO Governing Body; special advisor, FNV, Netherlands Manuela Tomei, director, WORKQUALITY, ILO ITUC and GUFs Sharan Burrow, general secretary, ITUC Julie Duchatel, equality officer, IUF Jodi Evans, women transport workers’ and gender equality officer, ITF Veronica Fernández-Méndez, head of equal opportunities, UNI Madeleine Kennedy-Macfoy, coordinator for gender equality, EI Marieke Koning, ITUC Equality Department Verόnica Montúfar, gender equality officer, PSI Adriana Paz, regional coordinator for Latin America, IDWF Armelle Seby, equality officer, IndustriALL Ruwan Subasinghe, legal officer, ITF Maria Tsirantonaki, ITUC Equality Department National trade unions Calixte Adiyeton, COSI– Benin and CNV Internationaal programme coordinator, Benin Noël Chadaré, secretary general, COSI– Benin Joanna Bearnice Coronación, deputy general secretary, SENTRO, Philippines Mariama Diallo, general secretary, Democratic Union of Workers of Senegal (UDTS) Moussa Diop, UDTS and CNV Internationaal programme coordinator, Senegal Eulogia Familia, vice-president and head of gender equality, CNUS, Dominican Republic Cathy Feingold, International Department director, AFL-CIO, United States Liz Helgesen, international secretary, Unio, Norway David Joyce, equality officer, ITUC, Ireland Martlé Keyter, MISA; vice-president, FEDUSA, South Africa Ema Liliefna, Equality Commission chairperson, KSBSI, Indonesia Esther Lynch, deputy general secretary, ETUC Rachel Mackintosh, E tū, New Zealand Fiona Gandiwa Magaya, head of education and gender, ZCTU, Zimbabwe Sheela Naikwade, vice-president, MSTKS, India Rose Omamo, general secretary, AUKMW, Kenya Neha Prakash, ITF, India Cinzia Sechi, former gender advisor, ETUC Vicky Smallman, director of women's and human rights, CLC, Canada Marie Clarke Walker, secretary-treasurer, CLC, Canada Annika Wunsche, deputy executive director, DGB, Germany Ekaterina Yordanova, president, FTTUB, Bulgaria NGOs, MSIs and trade union development and solidarity partners Alice Allen, challenge director, Business Fights Poverty Shawna Bader-Blau, executive director, Solidarity Center Krishanti Dharmaraj, executive director, Center for Women's Global Leadership, Rutgers University Hester Le Roux, senior economic advisor, CARE International Nicole Mathot, gender and Africa coordinator, CNV Internationaal Karin Pape, deputy director, WIEGO Andriana Paz Ramirez, Latin America regional coordinator, IDWF
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.361 | 0.247 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".