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Record W1540537743

William Beezley interview, "Mexicans in Revolution, 1910-1946"

2009· article· en· W1540537743 on OpenAlexaboutno aff
Marshall Poe, William H. Beezley

Bibliographic record

VenueIowa Research Online (University of Iowa) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPolitical science
DOInot available

Abstract

fetched live from OpenAlex

It's shocking and embarrassing how little I, as an American, know about Mexican history. Mexico shares a 2,000 mile long border with the United States. Mexico is America's third largest trading partner (behind Canada--about which I also know nothing--and China). Over 20 million people in the U.S. say they are of "Mexican descent." But all I can tell you about Mexican history is that the Aztecs built some really impressive pyramids, then the Spanish took over, then the Mexicans threw the Spanish out, then "we" beat the Mexicans and grabbed a bunch of their territory, then there was a confusing period involving France, and then Pancho Villa and Emiliano Zapata did some revolutionary stuff. The only phrase that comes to mind when I think of the period that followed--1910 to the present--is "illegal aliens." My ignorance is just pathetic (not to mention irresponsible). So I was really happy when William H. Beezley told me that he and Colin M. MacLachlan had written a kind of primer on the Mexican history in the first half of the twentieth-century. Mexicans in Revolution, 1910-1946 (University of Nebraska Press, 2009) is a model of concision and clarity. Beezely and MacLachlan do more with less better than almost any historian I know. I've tried my hand at this "boil-it-all-down" genre of historical writing, so I can tell you that it's tough to pull off successfully (not that I did). Beezley and MacLachlan do. I recommend this short introduction to any American who doesn't know enough about the origins of modern Mexico. If all so-benighted Americans bought a copy, Mexicans in Revolution, 1910-1946 would sell something on the order of 250 million copies. Bill and Colin have their fingers crossed, and so do I.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.098
GPT teacher head0.390
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2009
Admission routes1
Has abstractyes

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