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Record W2165089079 · doi:10.1017/s0714980811000432

Economic Security in an Aging Canadian Population

2011· article· fr· W2165089079 on OpenAlexaffabout
Robert L. Brown

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPensionPovertyGovernment (linguistics)Old Age SecurityPopulation ageingStandard of livingEconomicsPopulationEconomic growthBusinessPublic economicsDevelopment economicsEconomic policyLabour economicsFinanceBirth rateMarket economySociology

Abstract

fetched live from OpenAlex

Recent research indicates that today's retirees are doing very well in terms of their replacement ratios and that Canadian poverty rates among the elderly are low relative to other Organization for Economic Co-operation and Development (OECD) countries. Government-sponsored plans have been strengthened either through explicit expansion - for example, the Guaranteed Income Supplement (GIS) - or through the reform of the Canada/Quebec Pension Plans (C/QPP). Also important is the maturation of employer-sponsored pension plans, although coverage rates are down. Future generations of retirees may not achieve the standard of living that exists today, however, which is a concern. The author argues that today's economic security programs are affordable and that their costs could be stabilized if the retirement age were raised.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.077
GPT teacher head0.308
Teacher spread0.231 · 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 designObservational
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

Citations27
Published2011
Admission routes2
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicRetirement, Disability, and EmploymentFrench-language works237,207