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Record W7030210278

Lukewarm in Paradise: A Mormon “Poi Dog” Political Journalist's Journey into Hawaii Politics

2003· article· en· W7030210278 on OpenAlexaboutno aff

Bibliographic record

VenueScholarsArchive (Brigham Young University) · 2003
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

BackgroundThis paper describes a lifelong journey in journalism which began in Canada and includes the U.S. mainland and Hawaii.The journey provided the author a unique perspective on the politics of Hawaii as seen during the many years the author lived here.This paper includes an appendix which lists and briefly describes 66 members of the Church of Jesus Christ of Latter-day Saints whom the author has known personally or written about in newspapers, or historical articles.This convenience sample is taken from more than 500 elected politicians and government officials the author interviewed, reported on, or wrote about in scholarly articles, books or newspapers in Canada, Utah, Pennsylvania and Hawaii.Though the author's background in political writing as well as journalism and journalism education spans two countries, four states, and nearly 50 years, this paper primarily focuses on Hawaii politics, particularly the period from 1964 to 1981 when the author was employed as a reporter for the Honolulu Star-Bulletin (1964-69), as administrative assistant to the Senate Minority (1969-1977) and as coordinator for the Marine Advisory Program at the University of Hawai'i (1977-1981).As part of his responsibilities in the LDS Church, the author also originated the Hawaii Record-Bulletin in 1967.This LDS publication was patterned after the Catholic Herald and was mailed to Hawaii's media, government officials, and libraries.The author served as reporter, editor, and liaison between

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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.

Study designTheoretical or conceptual
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
Published2003
Admission routes1
Has abstractyes

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