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Record W7099002925

316 • REVIEWS CARVING FACES, CARVING LIVES: PEOPLE OF

2016· article· en· W7099002925 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsWhaleCarvingDocumentationArcticWhalingSubject (documents)
DOInot available

Abstract

fetched live from OpenAlex

sary, appendix, index. Softbound. Cdn$40.00. The title of this book may suggest biographies of northern wood-sculptors, but it is the second phrase, “carving lives,” that captures the focus on how Aboriginal peoples have hewn a life from the environment. This is a book of photographs, with accompanying text on aspects of the material culture and traditional knowledge of northern, primarily Cree, communities, showing how their material of all the Canadian participation and support; and informa-tion on the status of killer whales (Orcinus orca) off West Greenland in winter. While nowhere near as common as the three subject species, killer whales do occur in West Greenland waters during the winter months. The authors may have excluded discussion of the status of this species in light of recent criticism over Greenland’s killer whale harvests (ACS, 2002; George, 2002). Despite its lack of recognition of the large degree of Canadian involvement in recent research, I would still highly recommend this book. The editing and printing are of high quality. The book contains nearly 100 quality photo-graphs and a number of maps showing the seasonal distribu-tion and movements of all three whale species. Many of the photos were taken by the two authors. Most are in colour, with a smaller number of high-quality black-and-white shots. The book and information it contains are suitable for a range of readers, from laypersons with an interest in Arctic whales and ecology to junior students and instructors. More extensive documentation of sources and a corresponding list of references cited would make future editions of this book suitable for more senior students.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2130.186

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 head0.227
Teacher spread0.208 · 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.

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
Published2016
Admission routes1
Has abstractyes

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