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Record W2912544185 · doi:10.71781/3112

Design as a strategic tool for sustainability in northern and arctic contexts : case study of the arctic design concept in Finland

2018· dissertation· en· W2912544185 on OpenAlexaboutno aff
Caoimhe Isha Beaulé

Bibliographic record

VenueLaCRIS (University of Lapland) · 2018
Typedissertation
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsArcticSustainabilityThe arcticGeographyEnvironmental resource managementEnvironmental planningEngineeringOceanographyEnvironmental scienceGeologyEcology

Abstract

fetched live from OpenAlex

Globally, design is increasingly being perceived as a strategic tool for community development, well-being and innovation, both in theory and in practice. In the last few years, Finland has brought this notion to its northernmost regions through their emerging Arctic Design concept. While the concept has gained a lot of momentum, it remains, at this time, mostly Finnish-bound. Through a case study methodology, this thesis examines the ideas and visions underlying the concept of Arctic Design, and assesses its relevance for other northern regions, and in particular the province of Quebec, Canada. The data was collected through semi-directed interviews, conducted in northern Finland with leading actors involved in the concept’s strategic development. The theoretical framework employed draws on the perspectives of strategic design, sustainable design, and Nordicity (Hamelin, 1975). This study shows that design professionals are increasingly acting as key members within transdisciplinary projects and strategic areas, in order to address complex issues related to policy-making and broader societal change. This, in turn, opens up new avenues for both design practice and research in the topic of “northern design”. In particular, these findings suggest that design could play new roles in addressing northern and Arctic issues, by acknowledging local specificities (i.e. climates, socio-political frameworks, cultures) and allow the development of place-based solutions. By doing so, the province of Quebec could better use design as a catalyst of transitions towards sustainable futures among all its communities.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.951

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 studies0.0000.000
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 head0.024
GPT teacher head0.261
Teacher spread0.237 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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