MétaCan
Menu
Back to cohort
Record W866160343 · doi:10.1163/9789004248977_003

A Social History of the Women’s Movement in Guatemala and Nicaragua

2014· book-chapter· en· W866160343 on OpenAlexaboutno aff
Tine Destrooper

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMobilizationCitizen journalismPolitical sciencePeriod (music)Social movementQuarter (Canadian coin)Civil societyDevelopment economicsMovement (music)Social mobilizationEconomic growthGender studiesGeographySociologyPoliticsLaw

Abstract

fetched live from OpenAlex

In Nicaragua women were mobilized by the thousands into guerrilla movements and revolutionary organizations in the last quarter of the twentieth century. This chapter explores the modalities of women's wartime mobilization in Nicaragua and Guatemala, and examines the factors explaining this type of mobilization which was different in both countries. It considers the period before the signing of the peace treaties, the pre-1996 period for Guatemala, and the pre-1991 period for Nicaragua. The chapter first considers the Nicaraguan case and then the Guatemalan one, and points out significant similarities and differences between both cases which shed light on the development of the respective women's movements. The central factors for the chapter are women's economic role, their revolutionary mobilization, and the role of international actors. The international organizations played a crucial role in sowing the seeds for a civil society in the period of armed conflict and immediately after it.Keywords: armed conflict; Guatemala; guerrilla movement; Nicaragua; revolutionary mobilization; women's economic role; women's movement

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.138
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0130.009
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.185
Teacher spread0.153 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicHistorical and Contemporary Political DynamicsFrench-language works237,207