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Record W1983523021 · doi:10.1353/jcs.2006.0004

Awakening to the Intergenerational Equity Debate in Canada

2005· article· en· W1983523021 on OpenAlexvenueaboutno aff
David K. Foot, Rosemary A. Venne

Bibliographic record

VenueJournal of Canadian Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMethodology and Impact of Social Science Research
Canadian institutionsnot available
Fundersnot available
KeywordsIntergenerational equityEquity (law)PensionPopulationEconomicsPolitical scienceEconomic growthDevelopment economicsSociologyFinanceDemographyLaw

Abstract

fetched live from OpenAlex

An earlier study revealed that conflict over the issue of intergenerational equity (referring to equality in treatment for different generations) was apparent in the US media during the 1980s and early 1990s while attention to this issue was virtually non-existent in Canada. The focus for discussions on this issue is the distribution of the economic costs of an aging population. Specifically, with an aging population, the growth in elderly dependents is a significant concern for countries with pay-as-you-go public pension systems. This research analyzes public discussion of the intergenerational equity issue from 1993 to 1998 through content analysis of print media. The number of articles on this issue grew and peaked in 1996 with a sharp decline in 1997 and 1998. The issue of intergenerational equity surfaced in Canada during the mid-1990s with the fear that the Canada Pension Plan might run dry during the 2010s under then-current contribution rates. The pension issue serves as a flashpoint for recent concerns of intergenerational equity in Canada.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.018
Science and technology studies0.0180.011
Scholarly communication0.0140.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.336
GPT teacher head0.502
Teacher spread0.166 · 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 designTheoretical or conceptual
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

Citations16
Published2005
Admission routes2
Has abstractyes

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