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Record W2257497325 · doi:10.22329/wyaj.v32i1.4519

SHIFTING GROUND, SOLID FOUNDATIONS: IMAGINING A NEW PARADIGM FOR CANADIAN CIVIL SOCIETY ENGAGEMENT

2015· article· en· W2257497325 on OpenAlexaffvenueabout
Nandini Ramanujam, Miatta Gorvie

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsMcGill University
Fundersnot available
KeywordsCivil societyPublic administrationPolitical scienceTransparency (behavior)PoliticsGovernment (linguistics)AccountabilityDemocracyDissenting opinionPublic relationsSociologyPolitical economyLaw

Abstract

fetched live from OpenAlex

Members of civil society are increasingly decrying what they identify as an insidious trend whereby the government is targeting organizations whose mandates run contrary to the federal government’s political and economic agendas and creating a chill around public policy and advocacy work. The media as well as civil society organizations [CSOs] themselves have documented government attempts to undermine and stifle the voices of dissenting organizations, ranging from rhetorical attacks to the withdrawal of funding for ambiguous reasons. The climate of resentment and suspicion between civil society actors and the government is detrimental for safeguarding the tradition of accountability and transparency in Canada’s democratic institutions. Amidst this turbulent environment, this paper examines the often-made claim by CSO leaders in Canada that public funding is a necessary requirement for a strong civil society, with the aim of challenging and mobilizing the civil society community to not only survive but to reinvigorate its engagement to further social justice in this changing social and economic landscape. We argue that discussions of the state of civil society in Canada focus disproportionately on the question of funding and relationship-building with the government and expose the unforeseen consequences of this trade-off for CSOs, their members, and constituent communities. We close by introducing the potential of a new paradigm of “principled engagement” that would allow Canadian CSOs to thrive as sustainable, adaptable social justice advocates in coming years.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.189
GPT teacher head0.405
Teacher spread0.216 · 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.

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

Citations0
Published2015
Admission routes3
Has abstractyes

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