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Record W15991111 · doi:10.1016/j.apnr.2004.07.004

ANALYSIS OF COSTS AND PRICES OF BUILDING REHABILITATION WORK IN FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA, NIGERIA USING IN-HOUSE CONSULTANTS

2011· article· en· W15991111 on OpenAlexaboutno aff
Philip Olayemi Lawal

Bibliographic record

VenueJournal of Building Performance · 2011
Typearticle
Languageen
FieldPsychology
TopicFacilities and Workplace Management
Canadian institutionsnot available
Fundersnot available
KeywordsAllowance (engineering)Quarter (Canadian coin)Work (physics)BusinessRehabilitationOperations managementMarketingEconomicsEngineeringMedicineGeography

Abstract

fetched live from OpenAlex

The current study demonstrates the use of patient case mix to evaluate the probability of aggression occurring on an inpatient psychiatric unit. The impact of combining young adult psychiatric patients with patients classified with mental retardation on the overall negative events and injuries on an inpatient psychiatric unit was evaluated. Results suggest when the combined number of young adults and patients classified with mental retardation exceeds 10 the unit is at high risk for aggressive behavior occurring. Recommendations for evaluating violence at a unit level using case mix are provided.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.264
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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2011
Admission routes1
Has abstractyes

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