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Record W4385599782 · doi:10.59962/9780774830362

Maritime Command Pacific

2015· book· en· W4385599782 on OpenAlexaboutno aff
David Zimmerman

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicMaritime Security and History
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyGeographyHistoryGeology

Abstract

fetched live from OpenAlex

The Royal Canadian Navy crews that sailed the Atlantic during the early Cold War held a contemptuous view of their West Coast brethren, likening the Pacific fleet to a “yacht club” where sailors enjoyed a life of leisurely service on a tranquil sea. As Maritime Command Pacific demonstrates, nothing could be further from the truth. The first comprehensive history of the Pacific fleet from 1945 to 1965, it begins by exploring how Maritime Command Pacific (MARCAP) weathered postwar downsizing only to face rapid expansion in the wake of the Korean War. As Cold War tensions mounted, the fleet worked closely with the US Navy to defend the west coast of North America from potential threats. Over the course of this twenty-year period, MARCAP’s warships were just as active as their counterparts in the Atlantic; and their crews contended with drifting Japanese mines, joint US-Canadian training exercises, and the threat of Soviet submarines – all while patrolling a rugged coastline known, in part, as the “Graveyard of the Pacific.”

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.196
Teacher spread0.177 · 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
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
Published2015
Admission routes1
Has abstractyes

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Same venueUniversity of British Columbia Press eBooksSame topicMaritime Security and HistoryFrench-language works237,207