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Record W2095666734 · doi:10.12927/hcpap..18319

Accountability Agenda Must Include Home and Community Based Care

2006· letter· en· W2095666734 on OpenAlexaffvenueabout
Judith Shamian, Esther Shainblum, Jennifer Stevens

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2006
Typeletter
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsVictorian Order of Nurses
Fundersnot available
KeywordsAccountabilityGovernment (linguistics)BattleHealth careScheduleBusinessPublic relationsHealthcare systemPolitical sciencePublic administrationEconomicsManagement

Abstract

fetched live from OpenAlex

Wait times and the wait times agenda are on the Canadian schedule. Although most Canadians support our healthcare system, they are concerned about access. Resolving the wait times agenda might help increase Canadian confidence in the system's ability to provide timely access to care. While the paper by Trypuc, MacLeod and Hudson demonstrates well how quickly governments can mobilize tools and resources to address pressing policy needs, it also reveals the limited and narrow approach taken by governments to the wait times agenda. The Ontario government should recognize that a more integrated and comprehensive approach can significantly advance the wait times agenda and make the system more accountable. Only a broad-based approach will ultimately succeed in reducing wait times and building a sustainable system. A shift in values needs to take place away from the current emphasis on acute care and toward an inclusive vision of home- and community-based care that puts more emphasis on disease management, chronic care and independent living, if there is ever to be any real progress in the battle. Governments will ultimately be held accountable by Canadian healthcare consumers if they fail to make this important shift.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0000.000

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 head0.150
GPT teacher head0.395
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations12
Published2006
Admission routes3
Has abstractyes

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