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Record W2106444076 · doi:10.1080/14742837.2011.562361

Mobilizing Resistance to Privatization: Communication Strategies of Salvadoran Health-Care Activists

2011· article· en· W2106444076 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial movement studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFraming (construction)NewspaperPublic relationsSocial movementSketchPolitical scienceGovernment (linguistics)Health careSociologyPublic administrationLawPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.099
GPT teacher head0.397
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it