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Record W7041099883

[no title]

2022· other· en· W7041099883 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2022
Typeother
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostArcticClimate changeAotearoaTraditional knowledgeSubsistence agricultureContext (archaeology)EthnographyIndigenous
DOInot available

Abstract

fetched live from OpenAlex

Once Upon the Permafrost is a longitudinal climate ethnography about “knowing” a specific culture and the ecosystem that culture physically and spiritually depends on in the twenty-first-century context of climate change.\n\nThe author, anthropologist Susan Alexandra Crate, has spent three decades working with Sakha, the Turkic-speaking horse and cattle agropastoralists of northeastern Siberia, Russia. Crate reveals Sakha’s essential relationship with alaas, the foundational permafrost ecosystem of both their subsistence and cultural identity. Sakha know alaas via an Indigenous knowledge system imbued with spiritual qualities. This counters the scientific definition of alaas as geophysical phenomena of limited range. Climate change now threatens alaas due to thawing permafrost, which, entangled with the rural changes of economic globalization, youth out-migration, and language loss, make prescient the issues of ethnic sovereignty and cultural survival.\n\nThrough careful integration of contemporary narratives, on-site observations, and document analysis, Crate argues that local understandings of change and the vernacular knowledge systems they are founded on provide critical information for interdisciplinary collaboration and effective policy prescriptions. Furthermore, she makes her message relevant to a wider audience by clarifying linkages to the global permafrost system found in her comparative research in Mongolia, Arctic Canada, Kiribati, Peru, and Chesapeake Bay, Virginia. This reveals how permafrost provides one of the main structural foundations for Arctic ecosystems, which, in turn, work with the planet’s other ecosystems to maintain planetary balance.\n\nMetaphorically speaking, we all live on permafrost.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0010.002
Open science0.0090.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2130.000

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 head0.117
GPT teacher head0.435
Teacher spread0.318 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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