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Record W2114329486 · doi:10.1525/9780520953666

From the Jaws of Victory

2019· book· en· W2114329486 on OpenAlexaboutno aff
Matthew Mendez Garcia

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

From the Jaws of Victory: The Triumph and Tragedy of Cesar Chavez and the Farm Worker Movement is the most comprehensive history ever written on the meteoric rise and precipitous decline of the United Farm Workers, the most successful farm labor union in United States history. Based on little-known sources and one-of-a-kind oral histories with many veterans of the farm worker movement, this book revises much of what we know about the UFW. Matt Garcia’s gripping account of the expansion of the union’s grape boycott reveals how the boycott, which UFW leader Cesar Chavez initially resisted, became the defining feature of the movement and drove the growers to sign labor contracts in 1970. Garcia vividly relates how, as the union expanded and the boycott spread across the United States, Canada, and Europe, Chavez found it more difficult to organize workers and fend off rival unions. Ultimately, the union was a victim of its own success and Chavez’s growing instability. From the Jaws of Victory delves deeply into Chavez’s attitudes and beliefs, and how they changed over time. Garcia also presents in-depth studies of other leaders in the UFW, including Gilbert Padilla, Marshall Ganz, Dolores Huerta, and Jerry Cohen. He introduces figures such as the co-coordinator of the boycott, Jerry Brown; the undisputed leader of the international boycott, Elaine Elinson; and Harry Kubo, the Japanese American farmer who led a successful campaign against the UFW in the mid-1970s.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations57
Published2019
Admission routes1
Has abstractyes

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Same topicRace, History, and American SocietyFrench-language works237,207