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Record W4210508370 · doi:10.1136/medhum-2021-012220

In good hands: the phenomenological significance of human touch for nursing practices

2022· article· en· W4210508370 on OpenAlexafffund
Gillian Lemermeyer

Bibliographic record

VenueMedical Humanities · 2022
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsUniversity of Alberta
FundersKillam Trusts
KeywordsFeelingExistentialismPsychologyGestureMeaning (existential)NursingSocial psychologyMedicineEpistemologyPsychotherapistPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Prevailing understandings of the nurse's touch tend to be focused on its consoling, instrumental and communicative utility. What seems to be missing is an exploration of the ethical and existential significance of the nurse's touch. As an aspect of nearly every human experience, touch has a depth and breadth of meanings that are hard to compass. We experience the world through our bodies, feeling our way through our lives. In the nurse's world, touching contact with the person in care is often considered to be a fundamental gesture, inherent to nursing practices. Still, touch is often hidden, subsumed by the tasks of nursing themselves. In order to explore the meaningfulness of the nurse's touch, I start with considering the sense of touch itself, exploring possibilities of the nurse's touch. The experience of the nurse's touch is investigated further through phenomenological reflection on descriptive accounts of the nurse's touch from poetry, fictional prose, neonatal nurse interviews, as well as scholarly and personal accounts. These examples show insights into the nurse's touch as a site for an ethical encounter.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0130.044
Scholarly communication0.0130.009
Open science0.0020.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.382
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes2
Has abstractyes

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