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Record W4237195439 · doi:10.26443/ijwpc.v5i2.182

Mindful Dentist

2018· article· en· W4237195439 on OpenAlexvenueno aff
Carmelina D'Arro

Bibliographic record

VenueInternational Journal of Whole Person Care · 2018
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessBalance (ability)PerceptionAnxietyPsychologyNursingDental careHealth careMedicineDentistryPsychotherapistPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Dental anxiety challenges patients and providers alike, creating barriers to care, increasing pain perception, and increasing the time and effort required to complete treatment. While patient-centered dentistry invites us to care for the person attached to the teeth, many dentists feel ill-equipped to handle the many emotions that arise during dental treatment. Mindfulness and the practices that cultivate it are invaluable to the provision of patient-centered care in four respects: 1) it provides balance to the dental professional during stressful times, 2) it cultivates the qualities of a patient-centered health care provider 3) it guides actions necessary to meet a patient’s needs, 4) it provides techniques that patients can themselves use to find balance during stressful times. All of these fruits of mindfulness practices are demonstrated in three true vignettes of fearful patients who were treated by the author. Video footage of the three stories is also provided.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.669

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 head0.021
GPT teacher head0.345
Teacher spread0.323 · 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 designOther design
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
Published2018
Admission routes1
Has abstractyes

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