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Record W6989625523

Beth Parks and Colonel Mary Cady, interviewed by Devida Kellogg

2023· article· en· W6989625523 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerVietnam WarWorld War IISpanish Civil WarWife
DOInot available

Abstract

fetched live from OpenAlex

Beth Parks and Lieutenant Colonel Mary Cady, interviewed by Devida Kellogg, August 25, 2002. Parks and Cady, on the Veterans Panel, speak of their experiences in the military during the Vietnam War era; reasons for enlisting in the military; society’s reactions to the Vietnam War; propaganda, including “The Green Beret” by Robert Moore and “The Ballad of the Green Beret” by Staff Sergeant Barry Saddler; Beth’s experiences in a MASH (Mobile Army Surgical Hospital); Beth’s participation in constructing an evacuation hospital; MK’s education and participation in the Army at the University of Kansas; the College Army Nurse and WAC Student Officer Programs; MK’s training at Fort McClellan, Alabama, and Fort Ben Harrison, Indiana; MK’s employment at Fort Riley, Kansas, and Fort Devens, Massachusetts; MK’s enlistment in the Army Reserves; MK’s retirement in April of 1990; their experiences as women in the military; sexism in the military; the G.I. Bill; Mr. Branneth, a Canadian Vietnam Veteran; opinions on women in combat; and education at the University of Maine. Text: no transcript. Recording: mfc_na3085_c2129_01 (C 2129). Time: 00:47:08. Photographs: p14552-p14557. Restrictions: None.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.220
Teacher spread0.204 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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