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Record W2124569568 · doi:10.1093/geront/gnt064

A Buberian Approach to the Co-construction of Relationships Between Professional Caregivers and Residents in Nursing Homes

2013· article· en· W2124569568 on OpenAlexaff
Gerben J. Westerhof, Mark van Vuuren, Boris H. J. M. Brummans, Annette F.J. Custers

Bibliographic record

VenueThe Gerontologist · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPerspective (graphical)NursingExtant taxonPrivilege (computing)PsychologyObservational studyTask (project management)Nursing homesExistentialismThouValue (mathematics)SociologyMedicineEpistemology

Abstract

fetched live from OpenAlex

This article demonstrates the value of a Buberian approach to relationships between professional caregivers and residents in nursing homes. Extant research on relationships between professional caregivers and residents typically distinguishes between task-centered and person-centered communication yet tends to privilege either the perspective of professionals or residents. To address this issue, we develop an approach that addresses the co-construction of I-It and I-Thou relationships, based on Martin Buber's social existentialist philosophy. In turn, we show the merit of this approach by using it to analyze interactional data from an observational study on morning care in Dutch nursing homes. As these examples illustrate, our analytical perspective is useful because it highlights how different caregiver-resident relationships are co-created and unfold over time. Thus, by revealing how these relationships are worked out in everyday interactions through subtle shifts between task-centered and person-centered communicative practices, this article offers important insights for improving the quality of care in nursing homes.

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 score0.071
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.071
GPT teacher head0.388
Teacher spread0.317 · 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

Citations21
Published2013
Admission routes1
Has abstractyes

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