MétaCan
Menu
Back to cohort
Record W4389049949 · doi:10.4324/9780429456947-2

Weasels, Seals, Bears, and Sculpins

2023· book-chapter· en· W4389049949 on OpenAlexaboutno aff
Genevieve LeMoine, John Darwent, Christyann M. Darwent, James W. Helmer, Hans Lange

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicCephalopods and Marine Biology
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryGeographyZoologyBiology

Abstract

fetched live from OpenAlex

Miniature carvings recovered from Paleo-Inuit Dorset culture sites (2800–700 BP) across the Canadian Arctic and northwestern Greenland offer tantalizing glimpses of human–animal relations of this prehistoric group. Recently some scholars have begun a productive line of inquiry drawing on representational ecology to contextualize and enrich understanding of the social nature of these relationships and the symbolic role of the carvings of polar bears in particular among the Dorset. Their studies, and others, consider a broad range of carvings from sites across the north. This chapter builds on such work but focuses on a subset of carvings: those found tightly grouped in situ , which can be interpreted as having belonged to a single individual at a particular point in time. These “caches” of amulets lend themselves to a consideration of the specific, individual, relationships between hunters and the animals they preyed on, needed protection from, or relied on as helpers, and hence a better understanding of specific practices of Dorset hunters.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.029
GPT teacher head0.204
Teacher spread0.175 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicCephalopods and Marine BiologyFrench-language works237,207