Interview skills – psychiatry reel to reality
Bibliographic record
Abstract
Aims This reel analysis identifies quotes and actions of fictional characters from TV shows, namely: Hercules Poirot, Sherlock Holmes and House who can demonstrate learning points for clinical students to use within real psychiatric practice, using scientific theories such as the Hypothetico-deductive model, Empirical falsification and Occam's razor. This analysis explores what an ideal psychiatric interview consists of and what can be learnt from these characters and implemented within medical education. Method Each show was watched by one researcher over the period of March to August 2020. The researcher noted insightful quotes which were relevant to one of the three philosophical theories. Quotes were included if they demonstrated deduction skills, revealed a character's ethos and supported the Calgary-Cambridge model of interviewing such as building rapport. 32 quotations were collected in total and narrowed to 6 quotations. These were then analysed, learning points were made and linked to the Calgary Cambridge model. Result Dr House demonstrates objectivity when taking a patient's history. He utilises empirical falsification when diagnosing to avoid missing a differential diagnosis. Detective Poirot displays how empathic listening allows disclosure of details in the history, which would have otherwise been omitted. Additionally, he illustrates the importance of collateral interviewing which allows one to identify misinterpretations and inconsistencies. Sherlock teaches us the importance of perception regarding mismatching information which can help to gather new facts. All three characters interview beginning with open questions to more closed questions, supplementing with deductive reasoning in order to solve cases. Objectivity, empirical falsification, empathetic listening and deductive reasoning are the key skills displayed by these characters, that medical students can most use in their own practices. Conclusion The perfect interview discovers new information through synchronised collaboration, whilst adhering to the Hypothetico-deductive model of thought. A combination of the Calgary-Cambridge model of interviewing and skillset of the TV characters should be considered for implementation in some aspects of psychiatric interviewing. Medical education can utilise these TV shows to teach students how to conduct history-taking.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 teacher head, 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".