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Record W2210507546

Larson, Jean and Rush, Bob oral history interview

2000· article· en· W2210507546 on OpenAlexaboutno aff
Andrea L’Hommedieu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOral historyHistoryVisual artsArt historyArtArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Bob Rush was born November 10, 1920 in Houlton, Maine. His parents were Mathilda McGloughlin Rush and James Murray Rush. He lived in Canada for eight years and then moved to East Hodgdon, Maine. He went to school in Hodgdon until 1937 when he transferred to Houlton High School and graduated in 1939. After graduating, he worked on his family’s farm and earned money at a garage. After being inspired by Franklin Roosevelt in the 1930s, Rush began to get politically involved in his community and was an early supporter of Ed Muskie in the 1950s. In 1974, he was elected to the Maine legislature and worked for Muskie in Washington, D.C. Jean Larson was born September 9, 1925 in Houlton, Maine. Her parents were Frank and Jenny McGloughlin and her father worked in potatoes. As she grew up, she became involved in local politics as one of the few Democrats in Houlton. She was also an early Muskie supporter, and over the years served on the Democratic State Committee.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.003
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0380.005

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 head0.060
GPT teacher head0.225
Teacher spread0.165 · 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 designQualitative
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
Published2000
Admission routes1
Has abstractyes

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