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Record W2802036593 · doi:10.1086/697151

Bad Year Economics at Birchy Lake

2018· article· en· W2802036593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Anthropological Research · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsGovernment of Newfoundland and LabradorMacEwan University
Fundersnot available
KeywordsSubsistence agricultureNatural (archaeology)GeographyNatural resourceClimate changeSubsistence economyEnvironmental ethicsEthnologyHistoryArchaeologyEcology

Abstract

fetched live from OpenAlex

Anthropologists have long been interested in understanding how societies cope with risk and uncertainty in their subsistence economies. The topic has been of particular interest to the study of hunters and gatherers, where risk and uncertainty are often conceptualized as problems of the natural rather than social environment. This paper focuses on an archaeological site located in the interior of the island of Newfoundland that was inhabited by Amerindian people hunting caribou in the spring of the year, presumably because they were having difficulty procuring marine resources at the coast. The plight of these Amerindians, at a time when they were sharing the island with Paleo-Inuit peoples and climate change was undermining islanders’ access to critical marine resources, highlights the complex play between cultural adaptation, social and historical processes, and the natural environment.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.002

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 head0.088
GPT teacher head0.354
Teacher spread0.266 · 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