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Wrangel island as actant in the historical geography of the Russian Arctic through a Mi’kmaw lens

2020· article· en· W3037523333 on OpenAlexaff
Maura Hanrahan

Bibliographic record

VenueArctic and North · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsArcticLens (geology)GeographyThe arcticOceanographyGeologyPaleontology

Abstract

fetched live from OpenAlex

Wrangel Island is the largest island in the Russian Eastern Arctic and is now a protected place with international recognition. One of only five UNESCO world heritage sites in the Arctic, Wrangel Island is uniquely varied in its flora and fauna for an Arctic island. In this reflection piece, I use an Indigenous Mi’Kmaw cosmological approach to envision the much-storied Wrangel Island as a being and an actant in its long history, especially regarding human beings and anthropocenic activity. My approach asserts that, like plants, rocks, mountains, water, and landscapes, Wrangel Island has a unique and remarkable identity, personality, and spirit. For centuries, Wrangel Island has rebuffed human presence and it has been little affected by human activity. Today only scientists visit; no human collectivity has ever gained more than a slippery grip on the island. The tragedy is that, despite the island’s inclinations, the warming of the Russian Arctic may change this.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.271
Teacher spread0.231 · 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 teacher head, 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

Citations0
Published2020
Admission routes1
Has abstractyes

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