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Record W4221017898 · doi:10.3390/su14073958

Reckoning with Reality: Reflections on a Place-Based Social Innovation Lab

2022· article· en· W4221017898 on OpenAlexafffund
Sean Geobey

Bibliographic record

VenueSustainability · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCommonsKnowledge managementContext (archaeology)Process managementProcess (computing)Corporate governanceParticipatory designBusinessComputer scienceSociologyEngineeringPolitical scienceOperations management

Abstract

fetched live from OpenAlex

This is a reflection upon a social innovation lab process used to establish and build an ongoing culture of sustainability (COS) within a new multi-tenant commercial office building. It seeks to answer two key questions: (1) what are the design tensions that emerge when constructing co-design processes meant to encourage social innovation in a complex system while working from inside that complex system; (2) in building commons governance structures in a complex system, what are realistic expectations for the voluntary participation when multiple organizations with different core mandates are involved? This paper’s primary results come from reflecting upon the COS development coming from the social innovation lab process and adaptations process needed for it to work within a place-based context. The COS intervention itself is still in process and was disrupted by COVID-19, so these findings are still preliminary. Participatory co-design research often involves a great deal of complexity and tacit knowledge, so the key finding here is the surfacing of four core sources of tension that arise when developing a co-design process for the management of a commons: the allocation of costs for co-ordinating collective action, balancing a homogeneous platform for action with heterogeneous participants, physical building infrastructure and social co-design approaches, and between-tenant organization leadership and co-design approaches. This paper’s key contribution is in clarifying core challenges that participatory process designers face when developing and implementing co-design processes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.306
Teacher spread0.256 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2022
Admission routes2
Has abstractyes

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