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Record W7042547243

Paludan, Phillip Shaw - Interview and Memoir

2006· other· en· W7042547243 on OpenAlexaboutno aff

Bibliographic record

VenueCARLI Digital Collections (Consortium of Academic and Research Libraries in Illinois) · 2006
Typeother
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirGriffinGeorge (robot)Spanish Civil WarHEROWorld War II
DOInot available

Abstract

fetched live from OpenAlex

Paludan, Professor of History and holder of the Naomi Lynn Distinguished Chair of Lincoln Studies at the University of Illinois at Springfield (2001-07), recalls his family background, childhood in Canada, Council Bluffs, Iowa, and Glendale California; his early schooling; his parents’ divorce and visits to his father and his mother’s relatives; studies, social activities, sports and friends at Glendale High School; life as a student at Occidental College and his growing interest in history; the Phi Delta Gamma fraternity, favorite professors, friends and summer jobs.\n\nHe also discusses graduate history studies at UCLA, his mentors Clifford Griffin and Harold Hyman, marriage, and move to the University of Illinois at Urbana-Champaign, where he received a PhD in History in 1968. He recalls his 30-year teaching position at the University of Kansas, including curriculum, campus unrest, overseas programs, and relations with colleagues. Paludan also discusses his books and their reception, his family, divorce and remarriage, honors and awards, his move to New Jersey, the position at UIS, Abraham Lincoln, and his opinions of other Civil War historians.\n\nThe memoir also includes a press release regarding Paludan’s death, his 2006 UIS Commencement address, and his talk upon investiture to the Lynn Chair of Lincoln Studies in 2001.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.002
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0180.006

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 head0.075
GPT teacher head0.298
Teacher spread0.223 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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