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Record W1984841203 · doi:10.1525/phr.2010.79.1.135

Review: <i>Captain Alex Maclean: Jack London's Sea Wolf</i>, by Don MacGillivray

2010· article· en· W1984841203 on OpenAlexaboutno aff
Lissa Wadewitz

Bibliographic record

VenuePacific Historical Review · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIconCitationDownloadLibrary scienceArt historySearch engine optimizationHistoryWorld Wide WebArtInformation retrievalComputer scienceSearch engine

Abstract

fetched live from OpenAlex

Book Review| February 01 2010 Review: Captain Alex Maclean: Jack London's Sea Wolf, by Don MacGillivray Captain Alex Maclean: Jack London's Sea Wolf. By Don MacGillivray. (Vancouver, UBC Press, 2008. xiv + 361 pp. $29.95 paper) Lissa Wadewitz Lissa Wadewitz Linfield College Search for other works by this author on: This Site PubMed Google Scholar Pacific Historical Review (2010) 79 (1): 135–136. https://doi.org/10.1525/phr.2010.79.1.135 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Lissa Wadewitz; Review: Captain Alex Maclean: Jack London's Sea Wolf, by Don MacGillivray. Pacific Historical Review 1 February 2010; 79 (1): 135–136. doi: https://doi.org/10.1525/phr.2010.79.1.135 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentPacific Historical Review Search This content is only available via PDF. © 2010 by the Regents of the University of California Article PDF first page preview Close Modal You do not currently have access to this content.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.001

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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2010
Admission routes1
Has abstractyes

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