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Record W1875902387 · doi:10.22230/cjnser.2011v2n1a52

Advocacy Limitations on Gender and Sexually Diverse Activist Organizations in Canada’s Voluntary Sector

2011· article· en· W1875902387 on OpenAlexaffvenueabout
Nick J. Mulé

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsYork University
Fundersnot available
KeywordsPolitical scienceDemocratizationHumanitiesDemocracyPoliticsLawArt

Abstract

fetched live from OpenAlex

ABSTRACT Registered charities are restricted when engaging in advocacy, whereas Canadian nonprofits face a far more difficult time when fundraising. The impact of such limitations on Canadian gender and sexually diverse1 activist organizations is one example of the implications on Canada's democratization process. Despite the efforts of the Voluntary Sector Initiative (VSI), and updated political activity policies, Canada lags behind both the U.K. and U.S. in recognizing and legitimizing advocacy as an important contribution to its democratic process. An organized challenge of the system at the political and legal level is called for to address this issue. RÉSUMÉ Les organismes de bienfaisance enregistrés font face à des contraintes lorsqu'ils défendent une cause, tandis que les organismes sans but lucratif rencontrent de nombreuses difficultés pour amasser des fonds. L'impact de ces contraintes sur les organisations militantes de genre et de sexualité diversifiés n'est qu'un exemple de répercussion sur le procédé de démocratisation du Canada. Malgré les efforts déployés par l'Initiative sur le secteur bénévole et communautaire (ISBC) et malgré la mise à jour de politiques sur l'activité politique, le gouvernement du Canada a du retard par rapport à ceux du Royaume-Uni et des États-Unis en matière de reconnaissance et de légitimation de la défense de causes en tant que contribution importante à son processus démocratique. Pour aborder cette question, nous sommes amenés à remettre en question le système de façon méthodique sur les plans politique et juridique.

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)0.013
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.105
Threshold uncertainty score0.765

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0280.009
Scholarly communication0.0110.002
Open science0.0030.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0150.000

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 head0.220
GPT teacher head0.330
Teacher spread0.110 · 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 designQualitative
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

Citations4
Published2011
Admission routes3
Has abstractyes

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