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Record W3044742546 · doi:10.1080/15487733.2020.1785095

Doing laundry in consumption corridors: wellbeing and everyday life

2020· article· en· W3044742546 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSustainability Science Practice and Policy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsUniversité Laval
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsLaundryEveryday lifeConsumption (sociology)PsychologySociologyEnvironmental planningAestheticsArchitectural engineeringEnvironmental scienceEnvironmental ethicsGeographyEngineeringArtPolitical scienceArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

In this article, we explore the possibilities for a transformation toward more sustainable energy usage by engaging with mundane activities, such as doing the laundry. Across European households, laundry practices rely on social norms and material arrangements, which makes these practices rather “sticky” and resistant to change. Through the lens of consumption corridors, and accounting for wellbeing in relation to the basic needs of participation, health, and autonomy, we study laundry practices and their transformation in 73 Finnish and Swiss households that took part in a challenge to reduce their weekly wash cycles by half over a four-week period in autumn 2018. By using both qualitative and quantitative data, we analyze how participants defined minimum and maximum standards for cleanliness and convenience, for themselves and for others, over the course of the challenge period. Specifically, we consider how the sequencing of tasks associated with “doing the laundry” changed, as well as the significance of social relations and sensations in representations of social norms. The participants’ experiences helped uncover how setting limits toward consumption corridors can be achieved, whereby reductions in consumption can result in sustainable wellbeing.

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)0.002
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.005
Open science0.0000.001
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 head0.023
GPT teacher head0.316
Teacher spread0.292 · 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