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Record W7139649530

A.C. Greene Series Number 11

2011· book· en· W7139649530 on OpenAlexaboutno aff
Bill Neal

Bibliographic record

VenueUniversity of North Texas Digital Library (University of North Texas) · 2011
Typebook
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsFeudBattleConvictEconomic JusticePleaTortureRomanceInnocencePower (physics)Ambivalence
DOInot available

Abstract

fetched live from OpenAlex

The 1912 Boyce-Sneed feud in West Texas began with a torrid sex scandal at the core of a love triangle, featuring Lena Snyder Sneed, the high-spirited, headstrong wife; Al Boyce, Jr., Lena’s reckless, romantic lover; and John Beal Sneed, Lena’s arrogant, grim, and vindictive husband, who responded to Lena’s plea for a divorce by having her locked up in an insane asylum on grounds of “moral insanity.” The chase was on after Al rescued Lena from the asylum and the lovers fled to Canada. That’s when the killings began. No one who knew the vengeful John Beal Sneed doubted for a moment that he would go after his wife’s lover with lethal intent. Frustrated by Al’s escape to Canada, Sneed assassinated Al’s aged and unarmed father, Colonel Albert Boyce, a wealthy Amarillo banker and former manager of the huge XIT Ranch in the Panhandle during the late nineteenth century, who had been defending his son against Sneed’s legal machinations. Newspaper headlines predicted the upcoming murder trial would be the “greatest legal battle ever fought in Texas Courts.” Sneed’s well-paid legal team first earned him a mistrial. While awaiting his second trial, Sneed ambushed and killed Al Boyce, Jr., who had foolishly returned to Amarillo and was shot in the back, with witnesses present, while walking the main street. Sneed was acquitted in his second trial for killing the father, and later acquitted for the killing of son Al Boyce, Jr., as well—his legal team skillfully invoking the self-help justice of the unwritten law defending one’s marital home. Bill Neal, attorney and writer, tells the full story of this sordid affair with special analysis of the trial tactics that were so carefully crafted to resonate with the jurors of this era and ensure Sneed’s acquittal.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.172
Teacher spread0.159 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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