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Record W3009319187 · doi:10.1080/19420676.2020.1738532

Everyone a Changemaker? Exploring the Moral Underpinnings of Social Innovation Discourse Through Real Utopias

2020· article· en· W3009319187 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

VenueJournal of Social Entrepreneurship · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInnovation, Technology, and Society
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsSocial innovationSociologyWrightPerspective (graphical)PoliticsSocial changeEpistemologyEnvironmental ethicsPublic relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The term ‘social innovation’ has come to gather all manner of meanings from policymakers and politicians across the political spectrum. But while actors may unproblematically unite around a broad perspective of social innovation as bringing about (positive) social change, we rarely see evidence of a shared vision for the kind of social change that social innovation ought to bring about. Taking inspiration from methods that recognise the utopian thinking inherent in the social innovation concept, we draw upon Erik Olin Wright’s concept of ‘real utopias’ to investigate the moral underpinnings inherent in the public statements of Ashoka, one of the most prominent social innovation actors operating in the world today. We seek to animate discussion on the moral principles that guide social innovation discourse through examining the problems that Ashoka is trying to solve through social innovation, the world they are striving to create, and the strategies they propose to realise their vision.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.174
GPT teacher head0.356
Teacher spread0.183 · 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