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Record W3125914650 · doi:10.29173/alr2592

Charity Law Reform in Canada: Moving from Patchwork to Substantive Reform

2020· article· en· W3125914650 on OpenAlexafffundvenueabout
Samuel Singer

Bibliographic record

VenueAlberta Law Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsThompson Rivers University
FundersLaw Foundation of British ColumbiaThompson Rivers University
KeywordsLaw reformPoliticsLawLegislaturePolitical lawPolitical scienceModernization theoryPublic lawComparative lawReform ActPublic administrationSociologyPrivate lawChinese law

Abstract

fetched live from OpenAlex

This article explores the history of charity law reform in Canada, focusing on calls for a legislative definition of charitable purposes and changes to the political activity rules. It traces the trajectory of three periods of charity law reform advocacy in Canada since 1978, during which advocates have called not only for reform to the political activity rules but also more broadly for the modernization of Canadian charity law. Despite decades of charity law reform proposals, most charity law reform in Canada to date has constituted a patchwork of administrative and legal changes. Canadian charity law is at a crossroads after the broad recommendations of the 2017 Report of the Consultation Panel on the Political Activities of Charities and the 2018 legislative changes eliminating certain restrictions on charities’ political activities. It is time for more substantive charity law reform, drawing from multiple law reform proposals presented over the last 40 years, and from charity law reform in other jurisdictions.

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)0.020
metaresearch head score (Gemma)0.039
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 score0.458
Threshold uncertainty score0.628

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.039
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.011
Science and technology studies0.0310.032
Scholarly communication0.0230.006
Open science0.0040.008
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0090.000

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 head0.057
GPT teacher head0.338
Teacher spread0.281 · 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

Citations0
Published2020
Admission routes4
Has abstractyes

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