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Record W7059738162

Book Reviews

2016· article· en· W7059738162 on OpenAlexaboutno aff

Bibliographic record

VenueeVols (University of Hawaii) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)ParadisePearlTourismShoreWorld War IIFishingCultural historyMaritime historyFirst world war
DOInot available

Abstract

fetched live from OpenAlex

Book Reviews: American History Unbound: Asians and Pacific Islanders by Gary Y. Okihiro; Waterman: The Life and Times of Duke Kahanamoku by David Davis; Building Filipino Hawaiÿi by Roderick N. Labrador; From King Cane to the Last Sugar Mill: Agricultural Technology and the Making of Hawaiÿi's Premier Crop by C. Allan Jones and Robert V. Osgood; Local Story: The Massie-Kahahawai Case and the Culture of History by John P. Rosa; The Second Pearl Harbor: The West Loch Disaster, May 21, 1944 by Gene Eric Salecker; Taken from the Paradise Isle: The Hoshida Family Story, edited by Heidi Kim; North Shore Place Names: Kahuku to Kaÿena by John R.K. Clark; Shipwrecked in Paradise: Cleopatra's Barge in Hawaiÿi by Paul F. Johnston; Hawaiÿi's Scenic Roads: Paving the Way for Tourism in the Islands by Dawn E. Duensing; Surfing Places, Surfboard Makers: Craft, Creativity, and Cultural Heritage in Hawaiÿi, California, and Australia by Andrew Warren and Chris Gibson; Royal Hawaiian Featherwork: Nä Hulu Ali‘i, edited by Leah Caldeira, Christina Hellmich, Adrienne L. Kaeppler, Betty Lou Kam, and Roger G. Rose; In Love and War: The World War II Courtship Letters of a Nisei Couple by Melody M. Miyamoto Walters; Sea of Opportunity: The Japanese Pioneers of the Fishing Industry in Hawai‘i by Manako Ogawa

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.210
Teacher spread0.196 · 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 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
Published2016
Admission routes1
Has abstractyes

Explore more

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