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Record W2477080856 · doi:10.1017/cbo9780511983726.002

The circumpolar habitat and its peoples: traditional lifestyle and early research findings

2012· book-chapter· en· W2477080856 on OpenAlexaff
Roy J. Shephard, Andris Rode

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsCircumpolar starPermafrostArcticGlacial periodTree linePleistoceneLatitudeGeographyPhysical geographyThe arcticClimatologyGeologyClimate changeOceanographyArchaeologyGeomorphologyGeodesy

Abstract

fetched live from OpenAlex

The circumpolar habitat Boundaries The circumpolar region is defined by climate and culture, rather than by a specific latitude such as the Arctic circle. Geographic and climatic markers include the tree line, the zone of perennially frozen ground that even in summer only thaws superficially (the permafrost), and the mean July isotherm of 10°C (Bone, 1992; Burch, 1986; Damas, 1984; Kimble & Good, 1954; Péwé, 1966; Wenzel, 1991). These various boundaries have shifted markedly over the past 10–20 millenia (Lamb, 1965). During the last Pleistocene period of glaciation, ice covered much of North America, Europe and Asia. The cultural criterion of the circumpolar habitat, at least in North America, has traditionally been the region exploited by a people that early investigators, ourselves included, sometimes termed Eskimos (Damas, 1984). ‘Inuk’ (‘Inuuk,’ two, three or more ‘Inuit’) is the descriptor currently preferred, at least by the Canadian segment of this population. Also, some Amerindian groups can be found living within the geographic boundaries of the circumpolar region even in North America. Climate Throughout the circumpolar territories, the temperature remains below freezing for much of the year, and in some of the colder settlements of the eastern Canadian arctic mean daily air temperatures as low as −50 to −60 °C are recorded during the winter months. The average windspeed is about 5m/s (18km/h), but windspeeds of 10m/s (36km/h) and higher are encountered on some days, and then the windchill is particularly severe (Landsberg, 1970). In contrast, the 24 hour sunshine of late June and early July can occasionally bring mean daily temperatures as high as 25°C.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.105
GPT teacher head0.310
Teacher spread0.205 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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