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Record W3098642220 · doi:10.1080/13511610.2020.1822154

Place and community responses to opportunity: a example from nanoscience innovation

2020· article· en· W3098642220 on OpenAlexafffundabout
Rob Shields, Kevin Jones

Bibliographic record

VenueInnovation The European Journal of Social Science Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaKillam Trusts
KeywordsDeliberationSolidarityCommonsInterdependenceCitizen journalismArticulation (sociology)Political sciencePublic relationsSociologySocial sciencePolitics

Abstract

fetched live from OpenAlex

Focus groups on nanoscience, walking tours and a Citizen Summit demonstrate the Edmonton Canada community acting as both a sounding board and also as a collective think tank that mediates across networks in a city-region where strong local elites that draw on mechanical solidarity. This demonstrates the collective learning potential of social networks to be effective mediators in the process of recognizing opportunities. Our participatory research did not pose a regulatory or ethical question for public deliberation. Instead, the public exchanges emerged as diagnostic fora where deliberation lead to a collective evaluation of a proposed nanotechnology cluster. Confronted with an unprecedented area, we trace the attempt of this polity to adapt to the demands of innovation and a knowledge-intensive sector. We found a place-based re-articulation of mechanical and organic forms of solidarity characterized by interdependent specialized sectors across difference. Place plays an important mediating role as a commons.

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)0.042
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0420.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.018
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.312
GPT teacher head0.378
Teacher spread0.066 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2020
Admission routes3
Has abstractyes

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