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Record W2227490634

La prèparation financière à la retraite des premiers boomers: une comparaison Québec-Ontario

2007· preprint· fr· W2227490634 on OpenAlexaboutno aff
Long Mo, Jacques Légaré

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typepreprint
Languagefr
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsBaby boomersCensusSocioeconomic statusRevenueOrder (exchange)Retirement ageSocial securityDemographic economicsEconomicsGeographyPolitical scienceWelfare economicsDemographySociologyPensionFinancePopulation
DOInot available

Abstract

fetched live from OpenAlex

Since 2006, baby-boomers are beginning to reach the age of 60. This historic milestone forecasts serious challenges for our societies. In particular, the financial security of future pensioners constitutes an important issue. The present study will attempt to assess the financial preparation for retirement of the Quebec first cohorts of baby boomers born in 1946- 1955, who will retire in the forthcoming years, by comparing their situation with their Ontarian counterparts. This study is composed of four distinct parts. First, the methodology of the study will be explained. After a literature review, some indicators will be selected to measure the financial preparation to retirement from three points of view. Thus, the objective health of the financial preparation to retirement will be analyzed by comparing Quebec and Ontario. The relative situation of the Quebec first cohorts of baby boomers, illustrated by their revenue, their housing status and their patrimony, will also be explained. The third part of the study tries to compare the first cohorts of baby boomers’ subjective health of the preparation for retirement between the two provinces, for some socioeconomic categories, by using data concerning their satisfaction and their perspectives toward this issue. Finally, this study ends with a comparison of the various strategies used by the Quebec and Ontario first cohorts of baby boomers in order to assure themselves a suitable financial security for retirement, considering the actual trends of the socioeconomic conditions. The data analyzed come from various Statistics Canada surveys. In particular, demographic census data were used for the period covering 1971-2001, as well as the Survey of Financial Security (SFS) for 1999 and General Social Survey (GSS) for 2002.

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 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)0.016
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0040.014
Insufficient payload (model declined to judge)0.0010.001

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 head0.094
GPT teacher head0.450
Teacher spread0.356 · 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; both teacher heads agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

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