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Record W4399871083 · doi:10.1007/s43621-024-00312-4

Sustainability in the arctic: a bibliometric analysis

2024· article· en· W4399871083 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.

Bibliographic record

VenueDiscover Sustainability · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArcticSustainabilityThe arcticGeographyEnvironmental scienceOceanographyGeologyEcologyBiology

Abstract

fetched live from OpenAlex

Abstract This paper examines the literature on the Sustainability in the Arctic region, using a bibliometric analysis of 213 English-language articles published between 1980 and 2022 exploiting Bibliometrix, an R package. To find relevant literature using the Web of Science (WOS) database, we searched for documents using mesh terms based on the query of two terms, “Arctic & Sustainability”. We used the Boolean operator “AND” to combine the two terms and the Boolean operator “OR” to include synonyms of the terms. The articles retrieved were authored by 724 researchers, published in 98 journals, representing 132 countries, and growing at 5.08% annually. The findings reveal that a substantial portion of the Arctic sustainability literature placed significant emphasis on the examination of climate change, adaptation, and vulnerabilities affecting local communities. Furthermore, the more recent publications in this field concentrate predominantly on exploring perceptions and governance.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics, Science and technology studies
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0190.161
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.416
Teacher spread0.391 · 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