Mobilizing Resistance to Privatization: Communication Strategies of Salvadoran Health-Care Activists
Bibliographic record
Abstract
In September 2002, unions representing public health-care employees in El Salvador – doctors, nurses, blue-collar workers, and clerical staff – began a strike that would last for over 9 months, in protest of government plans to privatize medical services in the Salvadoran Social Security Institute. This paper focuses on the methods that the unions and their allies used to communicate their policy arguments and the motivations for the strike to the Salvadoran public. Specifically, I examine the endogenous factors that shaped their communication strategy and the movement traits that enabled them to carry this out successfully. Coverage of the lengthy conflict by the country's two leading newspapers is examined in order to sketch a synopsis of counter-movement framing that the activists confronted. Interviews with movement leaders reveal that they relied primarily on direct, nonmediated communication channels to counteract the media's framing, and that the organizational diversity of the movement was an enormous advantage for these methods.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".