Just Watch Us: RCMP Surveillance of the Women's Liberation Movement in Cold War Canada
Bibliographic record
Abstract
From the late 1960s to the mid-1980s, in the midst of the Cold War and second-wave feminism, the RCMP security service - prompted by fears of left-wing and communist subversion - monitored and infiltrated the women's liberation movement in Canada and Quebec. Just Watch Us investigates why and how this movement was targeted, weighing carefully the presumed threat its left-wing ties presented to the Canadian government against the defiant challenge its campaign for gender equality posed to Canadian society. Based on a close reading of thousands of pages of RCMP documents declassified under Canada's Access to Information Act and the corresponding Privacy Act, Just Watch Us demonstrates that the security service's longstanding anti-Communist focus distorted its threat assessment of feminist organizing. Combining gender analysis and critical approaches to state surveillance, Christabelle Sethna and Steve Hewitt consider the machinations of the RCMP, including its bureaucratic evolution, intelligence-gathering operations, and impact, as well as the evolution of the women's liberation movement from its broad transnational influences to its elusive quest for unity among women across lines of ideology and identity. Significantly, the authors also grapple with the historiographical, methodological, and ethical difficulties of working with declassified security documents and sensitive information. A sharp-eyed inquiry into spy policies and tactics in Cold War Canada, Just Watch Us speaks to the serious political implications of state surveillance for social justice activism in liberal democracies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.027 | 0.010 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| 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".