MétaCan
Menu
Back to cohort
Record W2055292101 · doi:10.3138/cja.26.suppl_1.077

To Pay or Not to Pay: Examining Underlying Principles in the Debate on Financial Support for Family Caregivers

2007· review· en· W2055292101 on OpenAlexaffabout
Janice Keefe, Beth Rajnovich

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2007
Typereview
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsMount Saint Vincent UniversityNova Scotia Cancer Centre
Fundersnot available
KeywordsPremiseUnintended consequencesEquity (law)Public economicsPublic policyAutonomyIntergenerational equityBusinessPublic relationsEconomicsFinancePolitical scienceEconomic growthLawSustainability

Abstract

fetched live from OpenAlex

In many countries one approach to supporting family-and-friend caregivers is direct financial or monetary support. Debates about the benefits and consequences of such policies pervade the literature. Building on the premise that values underlie public policy, the paper examines four policy paradoxes in the literature and uses selected examples from an international policy analysis to illustrate the underlying objectives and values upon which many of the policies were developed. These include the responsibility to care, economic or social objectives, gender equity, and the autonomy of care receivers. The authors conclude that policy makers need to be cautious about the unintended effects of financial support policy and develop a menu of policies and services to support caregivers. Future policy development in Canada must enable legitimate choice across the life course and ensure that neither the caregiver nor the care receiver will experience short- or long-term financial consequences of his or her choice.

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)0.009
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.008
Science and technology studies0.0020.006
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0040.003
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 head0.090
GPT teacher head0.334
Teacher spread0.244 · 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 designQualitative
Domainnot available
GenreReview

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

Citations35
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207