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Record W3125374859

Canada’s Looming Retirement Challenge: Will Future Retirees Be Able to Maintain Their Living Standards upon Retirement?

2010· article· en· W3125374859 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsConsumption (sociology)Standard of livingLoomingRetirement agePopulation ageingEconomicsDemographic economicsPopulationHealth and Retirement StudyLabour economicsBusinessGerontologyFinancePensionPsychologySociologyDemographyMedicine
DOInot available

Abstract

fetched live from OpenAlex

A key question in Canada’s pensions debate is whether Canadians will be able to maintain their living standards in retirement, and if policy needs to respond to the risk that some will experience painful declines.To date, it has been very difficult to estimate how current trends might affect various members of the population in the long run. In this study, we used LifePaths – a sophisticated simulation tool developed at Statistics Canada which integrates a large amount of data on the socio-economic experience of Canadians – to project consumption before and after retirement for Canadians who have not yet reached retirement age. Consistent with other research, the study finds that Canada’s retirement system has supported post-retirement consumption relatively well, especially for lower-income individuals and those who reached retirement age in the last twenty years. If ongoing behavior and economic circumstances were to persist indefinitely, however, more Canadians may find maintaining their working-life consumption in retirement more difficult.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.366
Teacher spread0.280 · 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