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Record W4401477252 · doi:10.1016/j.eist.2024.100892

Using energy vulnerability framework to understand household agency in sustainability transitions: Experiences from Canada and Finland

2024· article· en· W4401477252 on OpenAlex
Jani Lukkarinen, Runa Das, Senja Laakso, Mari Martiskainen

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Innovation and Societal Transitions · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsRoyal Roads University
FundersStrategic Research CouncilEngineering and Physical Sciences Research CouncilSocial Sciences and Humanities Research Council of CanadaEconomic and Social Research CouncilAcademy of FinlandMonash University
KeywordsAgency (philosophy)SustainabilityVulnerability (computing)Energy (signal processing)SociologyEconomic geographyEconomic growthGeographyEconomicsSocial scienceEcologyComputer sciencePhysics

Abstract

fetched live from OpenAlex

• Vulnerability framework diversifies understanding of household agency. • Exposure, sensitivity and adaptive capacity highlight contextual issues. • Cases in Canada and Finland reveal different dynamics of vulnerability. • Neither case country has given systematic attention to energy poverty. • Proactive household agency overcomes adversities of transition policies. Sustainability transitions research is increasingly engaged with the complexities of justice and equitability. In housing, policy lock-ins and infrastructural inequalities expose people to volatile energy markets, energy poverty and climate impacts. These problems have often been dealt with reactively, without resolving their underlying systemic and structural causes. We examine household energy vulnerabilities, their exposure and sensitivity to certain risks, and what their adaptive capacity is in navigating those. Based on qualitative case studies of social housing in Canada and housing cooperatives in Finland, we show that interconnected exposures and sensitivities to risks are contextual. This can lead to energy vulnerability, further triggered by changes in policies, energy markets and the environment. In Canada, neglected housing maintenance causes exposure, while in Finland, policy utilizing bottom-up action does not always strengthen household agency, especially for vulnerable households. We call for more empirical studies on household energy vulnerability in different contexts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

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)0.0010.000

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 head0.032
GPT teacher head0.264
Teacher spread0.232 · 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