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Record W1966416124 · doi:10.1177/097135571002000103

The Bridge to Retirement

2011· article· en· W1966416124 on OpenAlexaff
Gerry Kerr, Marjorie Armstrong‐Stassen

Bibliographic record

VenueThe Journal of Entrepreneurship · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSalaryDemographicsWageGenerativitySelf-employmentPsychologyLabour economicsWork (physics)Marital statusDemographic economicsSocial securityEntrepreneurshipSocial psychologyBusinessEconomicsSociologyDemographyEngineeringFinance

Abstract

fetched live from OpenAlex

Older workers’ choice of bridging employment (self-employment and wage-and-salary employment) was surveyed. Health status was found to be the only shared factor positively influencing both work commitment and the intention to work. Other than the aforementioned, those choosing entrepreneurship or wage-and-salary employment exhibited different demographics and answered dissimilar psycho-social needs. In terms of demographics, self-employed older workers included more unmarried, female respondents, whereas significantly more married males occupied wage-and-salary positions. In terms of psycho-social factors, the commitment and intention to work in the self-employed were significantly associated with responding to needs for personal fulfilment and independence. In contrast, those choosing wage-and-salary employment were significantly responding to needs for generativity, continued contribution, work connection and new experiences.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.386
GPT teacher head0.419
Teacher spread0.034 · 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
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

Citations114
Published2011
Admission routes1
Has abstractyes

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