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Record W2148217316

Cracking the RRSP nest egg

2006· article· en· W2148217316 on OpenAlexaffabout
Ted Wannell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsPensionDividendBusinessIncome taxInvestment (military)Equity (law)EconomicsRevenueWelfareFinanceLabour economicsPublic economics
DOInot available

Abstract

fetched live from OpenAlex

Aregistered retirement savings plan (RRSP) constitutes a key component of retirement income planning in Canada. RRSPs allow individuals to save pre-tax dollars in a variety of investment instruments wherein interest, dividends and capital gains accrue tax free until the funds are withdrawn. RRSPs work in conjunction with employerprovided registered pension plans (RPPs) to supplement the basic public pension plans: Old Age Security and Guaranteed Income Supplement (OAS/ GIS), and the Canada and Quebec Pension Plans (C/QPP). The tax-sheltering features of RRSPs have made them very popular investment vehicles, heavily promoted by the financial services industry. As of 1999—the last year a comprehensive wealth survey was conducted—half of all families and unattached individuals held RRSPs totalling $343 billion. This accounted for 9.8% of all household assets, following principal residences (31.5%), employer pension plans (17.3%), and business equity (10.1%). The foregone tax revenue on RRSP deductions and the income generated by this wealth is estimated to be more than 1% of GDP

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)0.002
metaresearch head score (Gemma)0.008
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.567
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1040.021

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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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
GenreOther

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
Published2006
Admission routes2
Has abstractyes

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