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Record W4389617724 · doi:10.1017/lar.2023.65

Religion, Resistance, and Rights in Guatemala

2023· article· en· W4389617724 on OpenAlexaboutno aff
J. T. Way

Bibliographic record

VenueLatin American Research Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesState (computer science)Resistance (ecology)Political scienceReligious studiesArtSociologyPhilosophy

Abstract

fetched live from OpenAlex

This essay reviews the following works: Dealing with Peace: The Guatemalan Campesino Movement and the Post-Conflict Neoliberal State. By Simon Granovsky-Larsen. Toronto: University of Toronto Press, 2019. Pp. viii + 275. $70.00 hardcover. ISBN: 9781487501433. Ladina Social Activism in Guatemala City, 1871–1954. By Patricia Harms. Albuquerque: University of New Mexico, 2020. Pp. xii + 409. $75.00 hardcover. ISBN: 9780826361455. Religious Transformation in Maya Guatemala: Cultural Collapse and Christian Pentecostal Revitalization. Edited by John P. Hawkins. Santa Fe, NM: School for Advanced Research, 2021. Pp. xxv + 448. $65.00 hardcover. ISBN: 9780826362254. Human and Environmental Justice in Guatemala. Edited by Stephen Henighan and Candace Johnson. Toronto: University of Toronto Press, 2018. Pp. v + 263. $36.95 paper. ISBN: 9781487522971. Guatemala’s Catholic Revolution: A History of Religious and Social Reform, 1920–1968. By Bonar L. Hernández Sandoval. Notre Dame, IN: University of Notre Dame Press, 2018. Pp. xiv + 254. $50.00 hardcover. ISBN: 9780268104412. Cuando el indio tomó las armas: La vida de Emeterio Toj Medrano. By Emeterio Toj Medrano and Rodrigo Véliz Estrada. Mexico City: Universidad Nacional Autónoma de México, 2021. Pp. 504. $354.00 paper. ISBN: 9786073043175.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0110.012
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.097
GPT teacher head0.443
Teacher spread0.346 · 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
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

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