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Record W2073970067 · doi:10.1080/08959420.2011.532011

Nursing Home Deficiency Citations for Safety

2010· article· en· W2073970067 on OpenAlex
Nicholas G. Castle, Laura M. Wagner, Jamie C. Ferguson, Steven M. Handler

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aging & Social Policy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsBaycrest Hospital
FundersNational Institute on Aging
KeywordsStaffingMedicaidNursing homesNursingReimbursementMedicineLong-term careQuality (philosophy)Family medicineHealth care

Abstract

fetched live from OpenAlex

Deficiency citations for safety violations in U.S. nursing homes from 2000 to 2007 are examined (representing a panel of 119,472 observations). Internal (i.e., operating characteristics of the facility), organizational factors (i.e., characteristics of the facility itself), and external factors (i.e., characteristics outside of the influence of the organization) associated with these deficiency citations are examined. The findings show that nursing homes increasingly receive deficiency citations for resident safety issues. Low staffing levels, poor quality of care, and an unfavorable Medicaid mix (occupancy and reimbursement) are associated with the likelihood of receiving deficiency citations for safety violations. In many cases, this likely influences the quality of life and quality of care of residents.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.457
Teacher spread0.416 · 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