MétaCan
Menu
Back to cohort
Record W2131590998 · doi:10.12927/hcpap.2011.22247

Paradigm Shift: Shaping Policy to Meet the Needs of Our Aging Population

2011· letter· en· W2131590998 on OpenAlexaffvenueabout
Nadine Nadine, Marg McAlister

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2011
Typeletter
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsCanadian Hospice Palliative Care Association
Fundersnot available
KeywordsPopulation ageingParadigm shiftHealth careMedical prescriptionGerontologyHealthcare systemAging in placePsychologyDemographic changePublic relationsPopulationPolitical scienceMedicineNursingEnvironmental healthEpistemologyLaw

Abstract

fetched live from OpenAlex

The extent to which our aging population impacts the health system is, as Chappell and Hollander suggest, dependent on (1) how that system is defined and organized and (2) our attitudes as a society to aging and the elderly. The Canadian Home Care Association supports the policy prescription described by Chappell and Hollander and believes that a paradigm shift from a reactive and episodic system to one that is proactive and supportive is required. This article expands upon the lead essay by further discussing the role of home care and the need for its integration into the healthcare system. And the article concludes by asserting that we must change our attitude toward aging by improving our understanding of and attention to the needs of older adults.

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)0.021
metaresearch head score (Gemma)0.045
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0230.022
Scholarly communication0.0110.017
Open science0.0040.008
Research integrity0.0950.078
Insufficient payload (model declined to judge)0.0060.003

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 head0.122
GPT teacher head0.410
Teacher spread0.288 · 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
GenreEditorial

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

Citations6
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueA Nudge Too Far? A Nudge at All? On Paying People to Be HealthySame topicAging, Elder Care, and Social IssuesFrench-language works237,207