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Record W2065872946 · doi:10.12927/hcpap.2000.17348

Home Care: It's Time for a Canadian Model

2000· review· en· W2065872946 on OpenAlexaffvenueabout
Margaret MacAdam

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2000
Typereview
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsHealth careGeneral partnershipLegislationBusinessEconomic growthPolitical scienceEconomicsFinance

Abstract

fetched live from OpenAlex

Although all provinces and the territories offer home-care programs, Canada does not have a national home-care program, nor are public home-care services covered under the principles of the Canada Health Act. As a result, Canadians face varying eligibility, cost, quality and access issues to home-care services. Until recently, policy makers have had poor information upon which to make decisions about the role of home-care programs within the larger health-delivery system. This paper includes a review of the most recent policy relevant information about home care in Canada as well as descriptions of new models of home care in Canada and other countries. Mounting evidence of cost-effectiveness, in combination with demographic, health delivery and technological changes, are bringing home care to the forefront of Canadian health policy. Other countries are moving forward to make home care an equitable and viable option within their health delivery systems. Canada could do the same by enacting national home-care legislation in partnership with the provinces.

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)0.005
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score0.380

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.007
Science and technology studies0.0030.007
Scholarly communication0.0060.005
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.168
GPT teacher head0.425
Teacher spread0.257 · 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
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

Citations47
Published2000
Admission routes3
Has abstractyes

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