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Examining Peplau's Pattern Integrations in Long-Term Care

2001· article· en· W2069863167 on OpenAlexaff
Penny Schafer, Joan Middleton

Bibliographic record

VenueRehabilitation Nursing · 2001
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsFederated Co-operatives (Canada)Shared HealthGenome Prairie
Fundersnot available
KeywordsTerm (time)Long-term careInterpersonal communicationRehabilitationPsychologyInterpersonal relationshipHealth careNursingGerontologyMedicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Contrary to the societal view that only the frail elderly reside in long-term care facilities, many young adults who require residential care to maintain optimal health, or who are in a rehabilitation program, also live in these facilities. The relationships between residents and caregivers in long-term care facilities may develop into relationships that are more typically familial than professional. With these emerging family-like relationships, the interpersonal pattern interactions may be healthy or unhealthy and may create opportunities for growth or pathology-producing patterns. This article illustrates how applying Peplau's concept of need-pattern integrations in the long-term care setting has the potential to enhance understanding, and subsequently guide interactions, between younger residents and caregivers. The potential is greatest when interactions are guided.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.052
GPT teacher head0.403
Teacher spread0.351 · 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.

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

Citations3
Published2001
Admission routes1
Has abstractyes

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