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Record W2927450308 · doi:10.1111/caim.12310

Living labs: From scattered initiatives to a global movement

2019· article· en· W2927450308 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

VenueCreativity and Innovation Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsCarleton University
FundersNokia
KeywordsLiving labAssisted livingMultinational corporationMovement (music)Living roomStandard of livingSociologyPolitical scienceEngineeringGerontologyMedicineComputer science

Abstract

fetched live from OpenAlex

This study explores the emergence of the living labs movement based on a literature review and interviews with experts acquainted with early living labs. The study contributes to the growing literature on innovation through living labs by addressing a research gap on why and how this movement is evolving. So doing, the study discusses the emergence of living labs from the perspectives of: (i) early living lab pioneers; (ii) early living lab activities in Europe, especially at Nokia Corporation; (iii) EU funding that supported the creation of living labs; (iv) national living lab networks; and (v) the multinational European Network of Living Labs (ENoLL). Moreover, upon highlighting major events in the emergence of living labs, the study identifies three consecutive phases of the global living lab movement: (i) toward a new paradigm; (ii) learning from experience; and (iii) professional living labs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.251
Teacher spread0.228 · 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