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Record W1676191218

Recognizing or Disregarding Close Personal Relationships Among Adults? The Report of the Law Commission of Canada and the Federal Income Tax

2002· article· en· W1676191218 on OpenAlexaffabout
David G. Duff

Bibliographic record

VenueeYLS (Yale Law School) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCommissionStatutePersonal incomeOrder (exchange)Income taxPersonal income taxPersonal injuryCommon lawPolitical scienceState income taxTax lawPublic economicsBusinessLawGross incomeDouble taxationAccountingActuarial scienceEconomicsTax reformEconomic growthFinance
DOInot available

Abstract

fetched live from OpenAlex

Beyond Conjugality, the Report of the Law Commission of Canada on close personal relationships among adults, reviews a number of federal statutes in which legal consequences turn on specific kinds of relationships among adults, and it proposes a new methodology for assessing existing or proposed legal rules that employ relational terms in order to accomplish their objectives. This comment on the Report addresses its most significant recommendations regarding personal income taxation and income support in Canada: that the tax credit for spouses and common law partners should be repealed and that the GST credit should be fully individualized. Questioning both of these recommendations, the comment draws some general conclusions on the Report's vision of close personal relationships among adults, at least as these affect issues of income taxation and support.

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)0.007
metaresearch head score (Gemma)0.025
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 score0.043
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0190.013
Scholarly communication0.0080.005
Open science0.0020.003
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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

Citations1
Published2002
Admission routes2
Has abstractyes

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