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Record W4400350371 · doi:10.1371/journal.pclm.0000415

Polar fieldwork in the 21st century: Early Career Researchers considerations regarding safety and sustainability

2024· article· en· W4400350371 on OpenAlexaff
Adina Moraru, Laura Helene Rasmussen, Filippo Calì Quaglia, Alexandra Middleton, Howard M. Huynh, Adrián López‐Quirós

Bibliographic record

VenuePLOS Climate · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsCarleton UniversityCanadian Museum of Nature
Fundersnot available
KeywordsSustainabilityPolitical sciencePublic relationsEngineering ethicsEnvironmental planningGeographyEngineeringEcology

Abstract

fetched live from OpenAlex

Conducting fieldwork in polar regions presents a multifaceted challenge not only because of the remoteness of the environment, but also potential geopolitical disputes, language barriers, divergent national policies, and disparities in emergency healthcare access. This review addresses the climate crisis and reevaluates the ethical considerations of polar fieldwork in alignment with broader social responsibilities, with particular emphasis on the challenges faced by Early Career Researchers (ECRs). Ongoing climate change and its associated impacts and effects (e.g., reduced snow and ice cover, thawing permafrost, intensified fires, and increased wildlife interactions) will undoubtedly compound the aforementioned challenges. ECRs, often with a heightened awareness for contending with issues pertaining to environmental conservation and sustainability, face greater career stakes than tenured researchers, which can lead to innovation in addressing safety concerns regarding polar fieldwork. This review summarizes current challenges faced by ECRs in polar fieldwork, elaborates on how these may change during this century, and presents possible solutions. To address the aforementioned challenges, we propose a comprehensive set of recommendations, including innovative data collection methods using improved technology and emphasizing meaningful remote local collaborations to minimize the travel and environmental impact and risk of disease contagion. We advocate for reducing the redundancy among research groups by promoting data sharing. Additionally, we suggest enhancing cooperation by integrating (traditional) Indigenous knowledge while respecting the rights of Arctic communities. Such recommendations highlight the intricate dynamics of polar fieldwork safety and logistics in a changing climate, emphasizing the need for adaptability, sustainability, and inclusivity in research practices. A call for action towards revising current practices is clear, emphasizing that ECRs can be key agents in forging and establishing responsible, comprehensive, and adaptive protocols toward enhancing safe and successful fieldwork in the polar sciences.

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)0.049
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.054
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.012
Scholarly communication0.0130.014
Open science0.0020.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.091
GPT teacher head0.395
Teacher spread0.304 · 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 designQualitative
DomainIncentives
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

Citations10
Published2024
Admission routes1
Has abstractyes

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