Resistance and praxis in the making of feminist solidarity: A conversation with Cynthia Enloe
Bibliographic record
Abstract
Ajnesh Prasad and Ghazal Zulfiqar had the opportunity to interview Professor Cynthia Enloe — feminist, social justice activist and the plenary speaker for the Critical Management Studies division at the 2019 Annual Meeting of the Academy of Management. The contents of the interview are presented in this article. The interview is based on an initial set of preliminary questions that Ajnesh and Ghazal posed to Cynthia over multiple email exchanges between 22 May and 3 June 2020 as well as a nearly three‐hour interview on 9 June 2020, which was recorded and transcribed into verbatim text. As the three individuals involved were located in different parts of the world during the ongoing global pandemic — Cynthia was in Boston (United States), Ajnesh was in Victoria (Canada) and Ghazal was in Lahore (Pakistan) — the interview was organized virtually using Zoom. The thought‐provoking interview covers a wide range of topics, from current debates over race and COVID‐19 to feminist solidarity‐building among culturally disparate communities to the potential of management and organization studies scholars to mobilize their research and teaching in efforts to transform current configurations of gendered social relations.
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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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.025 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 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".