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Thirty Days of Night

2017· reference-entry· en· W2799813634 on OpenAlexaffabout
Peter Dawson, Richard Levy

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDaylightThe arcticArcticGeographyClothingDarknessLatitudeHistoryPhysical geographyMeteorologyEcologyOceanographyArchaeologyBiologyGeologyAstronomyGeodesy

Abstract

fetched live from OpenAlex

The extended periods of daylight and darkness that characterize Arctic and Antarctic regions make them unique places on earth. At a location 250km north of the Arctic Circle, for example, polar night can last for upwards of 30 days during the winter months. These periods of darkness become increasingly longer as one moves to higher latitudes. It is therefore surprising that comparatively little research has explored how historic Inuit societies and their predecessors adapted to the challenges posed by these extremesThis is especially pertinent given that winter was a time for manufacturing, repairing, and maintaining hide clothing and a plethora of tools used for animal harvesting activities. Recent computer simulations of illumination levels within pre-contact Inuit dwellings demonstrate that lighting may have been strategically used to make interior spaces appear larger, to enhance the metaphorical associations of dwellings with sea mammals, and to facilitate the completion of complex tasks.

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)0.001
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: Other
Teacher disagreement score0.827
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1730.082

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 head0.092
GPT teacher head0.416
Teacher spread0.324 · 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
Published2017
Admission routes2
Has abstractyes

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