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Record W2610283054 · doi:10.1016/j.eist.2017.04.002

Systems of practice and the Circular Economy: Transforming mobile phone product service systems

2017· article· en· W2610283054 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.

Bibliographic record

VenueEnvironmental Innovation and Societal Transitions · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsMemorial University of Newfoundland
FundersEngineering and Physical Sciences Research Council
KeywordsMobile phoneProduct (mathematics)BusinessMarketingKey (lock)Service (business)CentralityPhoneProduct-service systemBusiness modelKnowledge managementComputer scienceTelecommunicationsComputer security

Abstract

fetched live from OpenAlex

Of late, policy and research attention has increasingly focused on making the Circular Economy a reality. A key part of this agenda is the creation of Sustainable Product Service Systems (SPSS) that meet consumers’ needs whilst lessening negative environmental impacts. Although the SPSS literature has grown recently, key aspects require further examination. In response, this paper discusses empirical research exploring consumers’ reactions to a novel, hypothetical mobile phone SPSS, utilizing qualitative methods that included ‘business origami’. It examines consumers’ knowledge about current mobile phone life cycles, and responses to the proposed SPSS, drawing on a ‘systems of practice’ framework to discuss the potential for significant changes in phone purchase and use. It outlines barriers to alterations in practices, underscoring the centrality that connectivity and data storage now have in many peoples’ daily lives, which have for some become clustered around the capabilities and accessibility of the mobile phone.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.018
GPT teacher head0.235
Teacher spread0.216 · 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