MétaCan
Menu
Back to cohort
Record W3086875406 · doi:10.1370/afm.2568

In, But Out of Touch: Connecting With Patients During the Virtual Visit

2020· article· en· W3086875406 on OpenAlexaff
Martina Kelly, Gerard Gormley

Bibliographic record

VenueThe Annals of Family Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWonderMedicineMeaning (existential)Function (biology)HumanityTherapeutic touchCoronavirus disease 2019 (COVID-19)NursingInternet privacyAestheticsAlternative medicinePsychologySocial psychologyPsychotherapistPathologyComputer science

Abstract

fetched live from OpenAlex

Covid-19 has rapidly changed physician-patient interaction, from hands-on to hands-off medicine. In this essay, 2 family physicians on different continents reflect on the meaning of touch in clinical practice and how virtual care is transforming this tacit aspect of patient care. Although technology enables physicians to stay in touch with patients verbally, we have lost the ability to physically touch. Traditionally, touch is central to medical practice, physical examination guides diagnosis and informs management. But the silent language of touch fulfills a deeper symbolic function, enabling physicians to acknowledge patient concerns in a tangible way. Touch expresses healing, extending beyond skin-to-skin contact to express humanity, caring, and connection. As we adapt to novel technologies, we wonder how, as family physicians, we will adapt our clinical acumen to extend our ability to connect with patients.

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)0.004
metaresearch head score (Gemma)0.014
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 score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.008
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.204
GPT teacher head0.392
Teacher spread0.189 · 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

Citations29
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Annals of Family MedicineSame topicBody Image and Dysmorphia StudiesFrench-language works237,207