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Record W2802073116 · doi:10.12927/cjnl.2017.25454

There Are Solutions at Hand … What Are We Waiting For?

2017· editorial· en· W2802073116 on OpenAlexvenueaboutno aff
Lynn Nagle

Bibliographic record

VenueNursing leadership · 2017
Typeeditorial
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsNursingPrimary careHealth careAcute careResource (disambiguation)Focus (optics)Nurse practitionersBusinessPsychologyMedicinePolitical scienceFamily medicineComputer science

Abstract

fetched live from OpenAlex

Discussions of seniors with complex co-morbid conditions "clogging up" or "blocking" acute care beds have been persistent over the last two decades. In reality, many of these hospital admissions are likely avoidable with the allocation of appropriate resources to manage their care in the community. While promises of enhanced community-based care and support have been touted for years, the solutions have been inadequate, and continue to fall short of the mark. Notwithstanding the likely need for more long-term residential care beds in the face of Canada's aging demographic, it is clear that much more could be done to maintain seniors in their own homes or within residential care facilities - that is to say, out of the hospital!

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)0.010
metaresearch head score (Gemma)0.037
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: Editorial
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.037
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0090.008
Scholarly communication0.0150.012
Open science0.0040.003
Research integrity0.0280.056
Insufficient payload (model declined to judge)0.0110.014

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 head0.467
GPT teacher head0.469
Teacher spread0.002 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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