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Record W2891791798 · doi:10.1386/public.29.57.163_1

Ice as a Counter-Archive: Permafrost, Archival Melt and Climate Futures

2018· article· en· W2891791798 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

VenuePublic · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPermafrostEarth scienceArcticClimate changePhysical geographyGeologyAstrobiologyGeographyOceanography

Abstract

fetched live from OpenAlex

Abstract In the history of Canadian Arctic colonization, ice and permafrost have been understood primarily as an engineering problem. During the Cold War however, understanding of permafrost and its possibilities changed. Microbiologists and geoscientists did not see permafrost as a hindrance, but rather for understanding the past. As permafrost freezes, organics, air and water become trapped, and as the permafrost grows thicker, so too the earliest trapped matter is buried deeper. Through chemical and genomic analysis, permafrosttoday can reveal details about the past. For scientists today, permafrost has collected, ordered and preserved a lost world of climate environments. This paper examines how political imperatives, petroleum industry and government scientists worked together in the 20th century Canadian North to construct permafrost as an archive of the past. It also posits that these icy (and now rapidly melting) archives should play a critical role in our global future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.169
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.003

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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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