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Record W1892109340 · doi:10.22230/cjnser.2012v3n1a106

Funding Charities Through Tax Law: When Should a Donation Qualify for Donation Incentives?

2012· article· en· W1892109340 on OpenAlexaffvenueabout
Adam Parachin

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsDonationIncentiveGift taxStatutory lawIncome taxPolitical scienceLawLaw and economicsHumanitiesWelfare economicsEconomicsTax creditPhilosophyDirect tax

Abstract

fetched live from OpenAlex

ABSTRACTCanadian income tax law provides incentives for taxpayers to make charitable donations. Since only those donations to charities qualifying as charitable “gifts” are eligible for donation incentives, the definition of gift bodes significant revenue implications for charities and government alike. The Income Tax Act does not, however, define the term gift. The tests applied by courts and regulators to identify gifts in the absence of a statutory definition are contradictory, unnecessarily restrictive, and inconsistent with the tax policy behind donation incentives. The recent attempt to improve the law through the proposed “split-receipting” rules has achieved little in the way of meaningful reform. The ideal solution is to adopt a statutory definition of “charitable donation” that will both broaden and clarify the range of eligible donations.RÉSUMÉLa loi canadienne de l’impôt sur le revenu prévoit des incitatifs visant à encourager les contribuables à faire des dons. Étant donné que seuls les dons faits aux oeuvres de bienfaisance qui se qualifient en tant que « dons » de bienfaisance peuvent donner droit à ces incitatifs, la définition du terme « don » est porteuse d’importantes répercussions fiscales, tant pour les organisations caritatives que pour le gouvernement. Toutefois, la Loi de l’impôt sur le revenu ne définit pas le terme « don ». Les critères appliqués par les cours et les autorités de réglementation pour identifier ce qui constitue un don, en l’absence d’une définition établie par la loi, sont contradictoires, inutilement restrictives et incohérentes avec la politique fiscale concernant les incitatifs accordés au titre des dons de bienfaisance. La récente tentative d’améliorer la loi avec les règles proposées sur le fractionnement des reçus n’a eu que peu de résultats pour mener à une réforme significative. La solution idéale est d’adopter une définition législative du terme « don » qui permettrait d’élargir et de clarifier la portée des dons admissibles.

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)0.028
metaresearch head score (Gemma)0.086
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 score0.948
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.086
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0060.009
Scholarly communication0.0180.011
Open science0.0020.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0190.003

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 head0.330
GPT teacher head0.445
Teacher spread0.115 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

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Same venueCanadian journal of nonprofit and social economy researchSame topicMulticultural Socio-Legal StudiesFrench-language works237,207