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Record W3029345983

Occupational Pension Plans, Group Registered Retirement Savings Plans, and Employee Quit Transitions

2018· article· en· W3029345983 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMembers-only Library · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPensionEarningsBusinessCompensation (psychology)Human resource managementLabour economicsPlan (archaeology)Human resourcesActuarial scienceCompensation of employeesEmployee benefitsTurnoverFinanceEconomicsManagement
DOInot available

Abstract

fetched live from OpenAlex

One of the concerns largely ignored by the occupational pension reform movement across Canada is the fact that defined-benefit (DB) pension plans generally—and particularly the most common of such plans, the final-average earnings plans—allow both plan members and employer sponsors to reduce certain risks they face in the employment relationship. Therefore, deferred compensation can be used by the employers as a strategic human resource management tool in the areas of reducing certain unwanted employee behaviors such as shirking and turnover, as well as facilitating desirable retirement decisions and human resource planning (Allen and Clark 1985; Ippolito 1987, 1994; Mitchell 1988; Gunderson and Pesando 1988; Lazear 1990; Gustman, Mitchell, and Steinmeier 1994; and Dorsey 1995). Employees make a long-term commitment and performance guarantee in exchange for a pension linked to their final pay at retirement and an implicit guarantee of employment security until that time.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.156
GPT teacher head0.373
Teacher spread0.217 · 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