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Record W4413391795 · doi:10.61586/puhiw

Connecting students with the Arctic: Live classroom online teaching from the Arctic to the USA and Europe: five case studies

2025· article· en· W4413391795 on OpenAlexaboutno aff
Frithjof C. Küpper, Philip Smith, Martin Barker, Kleopatra Grammatiki, Eleni Avramidi, Beate Vollmer, Bettina Gebke, Lina Wolter, Olivier Dargent

Bibliographic record

VenueMitteilungen Klosterneuburg · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
FundersScottish Government
KeywordsArcticThe arcticMathematics educationOceanographyBiologyEcologyPsychologyGeology

Abstract

fetched live from OpenAlex

Researchers working in polar regions face unique challenges not only in terms of environmental extremes and logistics, but also with respect to communications and commitments at their home institutions. With the increasing availability of highspeed internet at remote polar locations, some of these constraints are now diminishing. Polar scientists now have opportunities to communicate in realtime, including directly into universities, schools and public spaces. This paper explores the practicalities and implications of online teaching at institutions in the UK, USA, Germany and France, delivered from the remote Hamlet of Pond Inlet in the Canadian High Arctic by three of the authors. In this qualitative experiential study, the experience of an expedition to the region in early spring 2023 showed that, despite some remaining technical challenges, live teaching from remote locations in the Arctic to secondary, further and higher education institutions can engage with students. The technology to allow this is now a realistic but still limited option, providing students with an unprecedented learning experience. Such communications might help to inspire a new generation to understand and value polar regions.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.036
GPT teacher head0.376
Teacher spread0.339 · 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.

Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

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