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Record W2965037380 · doi:10.21272/eumj.2019;7(1):81-93

THE STRUCTURE OF THE QUALITIES WHICH CAUSES TRUST TO THE DOCTOR

2019· article· en· W2965037380 on OpenAlexaboutno aff
А. В. Кустов, A. M. Chikmariоva

Bibliographic record

VenueEastern Ukrainian Medical Journal · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPersonality psychologyPsychologyValue (mathematics)Social psychologyEmpathyPersonalityInstitutionDenialInterpersonal relationshipIdeologyInterpersonal communicationPoliticsSociologyPolitical scienceComputer scienceSocial sciencePsychotherapistLaw

Abstract

fetched live from OpenAlex

Trust is a universal socio-psychological process that participates in the formation of a wide range of personality relations to the values ​​of the surrounding world. Facts of the historical events, the biographies of famous personalities, political and ideological concepts and systems are put through the “filter of trust”. At the microsocial level, trust is expressed in the individual's faith in the reliability of family-marital, child-parenting, friendship, love, industrial, professional, and other relationships. The value of social relations, their recognition and acceptance, or denial and leveling will depend on the degree of trust in the partner, the team, the proposed concepts, the public or state institution. In this regard, trust can be considered a barometer and trigger (trigger) of interpersonal relations. This topic has a deep universal significance in connection with the total multi-level crisis of the confidence in our time. Naturally, it concerns the relations of patients and their relatives to the doctors, the organization of care for patients, and medicine in general. The purpose of the research is to study the structure of qualities of a doctor, which inspire confidence in the real and potential patients depending on their age and the interaction of such psychological characteristics as reflection, alexithymia and empathy. The studied literature showed that the research of the interaction of these qualities to solve the goal by other authors was not considered. Psychological tests were used to accomplish the goal and realization of the tasks: Toronto alexithimic scale, a method for determining the general reflection index by A. V. Karpov, a methodology for studying the indicators of empathy by I. M. Yusupov, test of the trust to doctor by A. V. Kustov. From the methods of statistical processing of the obtained results, the traditional methods were used to reveal the significance of differences between the compared groups, the correlation analysis between individual personality qualities and properties. Respondents of different ages took part in the study, since it was assumed that age is one of the conditions for building trust to a doctor. The respondents represented three standard age groups, each of which consisted of 40 people. In the group of youngsters, the average age was 20.7, in people of mature age – 42.3, in the elderly – 60.5 years. The study showed that the mechanisms of reflection and alexithymia from the standpoint of the continuum principle should be considered as “two sides of the same coin”. This means that the higher the level of reflection, the weaker the complex of alexithymia, and vice versa. It is found that reflection is a developing state. It is noted that the preference of certain qualities of the doctor depends on the age of the patients, on their ability to reflection and the level of alexithymia. Individuals with a high level of reflection appreciate the qualities of a doctor that are inherent in this group of respondents (the propensity for active dialogue with oneself, the ability to control one’s thoughts, feelings, the ability to control one’s own behavior, etc.). The work is presented on 17 pages, it includes 6 figures and tables and it also includes 24 publications on the topic under study.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.994

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.339
Teacher spread0.316 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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