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Record W3116238102 · doi:10.1111/nin.12397

The objectivity and subjectivity of pain practices in older adults with dementia: A critical reflection

2020· article· en· W3116238102 on OpenAlexaff
Rianne Carragher, Emily MacLeod, Pilar Camargo‐Plazas

Bibliographic record

VenueNursing Inquiry · 2020
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsQueen's University
Fundersnot available
KeywordsSubjectivityObjectivity (philosophy)Critical reflectionDementiaReflection (computer programming)PsychologyEpistemologySociologyMedicinePhilosophyPedagogyComputer sciencePathology

Abstract

fetched live from OpenAlex

Providing nursing care for people with dementia residing in long-term care facilities poses specific challenges regarding pain practices. With underlying communication barriers unique to dementia pathologies, this population is often unable to communicate verbal sentiments and descriptions of pain. In turn, nurses caring for older persons with dementia have difficulty assessing, managing and treating pain. Objectivity is an imperative factor in healthcare pain practices; however, it is difficult to objectively evaluate someone who cannot accurately communicate their experience of pain. Therefore, the authors believe that subjectivity is also an essential part of evaluating the person with dementia's experience of pain. In this critical reflection, the authors explore objectivity and subjectivity in relation to pain practices for dementia in long-term care. A historical summary of pain is provided outlining the evolution of objectivity and subjectivity related to pain practices. The authors discuss the complexities of assessing and managing pain and offer a new perspective about the role of objectivity (and co-existence of subjectivity) for nurses treating pain in the older adults with dementia.

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)0.002
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 score0.118
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.043
GPT teacher head0.351
Teacher spread0.308 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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