Bibliographic record
Abstract
Knowledge and skills in the field of professional communication are necessary for the doctor to form a trusting relationship with the patient. The right approach to counseling based on this knowledge is important to ensure quality medical care. The consultation has two main tasks: to find out the essence of the problem that led the patient to the doctor, and to find possible solutions to this problem. At the same time, a combination of openness and structuring of the process is important. The lecture examines the Calgary-Cambridge model of counseling, its structure and features of each stage. The structure of the consultation in accordance with this model includes five stages the beginning of the consultation, the collection of information, inspection, explanation and planning, and the completion of the reception. Each stage has certain tasks, starting with establishing contact at the beginning of the consultation, and ending with summing up at the end of the reception. The principles and conditions of effective counseling include the availability of sufficient time; availability of consultation; respect for the personality of each patient and goodwill; confidentiality; provision of information in a language understandable to the patient; respect for the patients ability to make decisions. Communication with a patient in the conditions of primary health care is a long and multifaceted process, but the result of such communication often depends on the successful conduct of counseling by a doctor.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".