MétaCan
Menu
Back to cohort
Record W4295884746 · doi:10.29173/cjnser384

Acknowledging Marxist Economist C.Y. Thomas’ Legacy in Canada’s Economic Development Sector

2022· article· en· W4295884746 on OpenAlexaffvenueabout
Caroline Shenaz Hossein, Kadasi Ceres

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsSociologyOperationalizationTransformative learningWrightMarxist philosophyPower (physics)Social changeSocial scienceEpistemologyEconomicsEconomic growthPolitical scienceLaw

Abstract

fetched live from OpenAlex

The current ecological and social crises are shaking the foundations of society and invite reflection on the capacity of social innovations to generate systemic transitions. As conceptualized by Erik Olin Wright, the trajectories of contemporary emancipatory social innovations are encountering blockages that limit their transformative potential. This article develops the concept of social effect to better understand the complex dynamics at the root of this problem by mobilizing Nancy Fraser’s neo-Polanyian critical theory. This theory, applied to the microsocial, mesosocial and macrosocial scales, allows us to operationalize the issue of the paradoxes encountered and generated daily by the actors of social innovation. The resulting approach to emancipatory social innovation aims to better understand the hybridization of resources and the strategies adopted by organizations to develop the structural power necessary to effect a systemic socioecological transition. The approach also draws attention to the paradoxical social effects generated through the social innovation actors’ daily practices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.104
Threshold uncertainty score0.753

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.016
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.085
GPT teacher head0.328
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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 routes3
Has abstractyes

Explore more

Same venueCanadian journal of nonprofit and social economy researchSame topicSocial Sciences and GovernanceFrench-language works237,207