‘When I use a word, it means just what I choose it to mean – neither more nor less’
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
When Humpty-Dumpty took a cameo role in Through the Looking Glass, he probably didn't realise that this line would be among those most quoted from the book.1 Little did this diminutive anthropomorphic egg think that over the next hundred or more years, he would inspire judges, presidents and now medical educationalists to ponder on and dissect the meanings of words and phrases (http://en.wikipedia.org/wiki/Humpty_Dumpty). When we use a word, we may have a specific meaning in mind, but that meaning may differ from that within the reader's mind. Sometimes there is genuine controversy regarding the meaning of a concept; sometimes there are a number of different definitions, and sometimes when we use a word, we may not have a specific meaning in mind (i.e. we might use a word loosely or, worse still, lazily). When we use a word, we should define it – but only rarely do we do so, and it is to fill this gap that the idea of a new series in Medical Education was conceived. There are endless examples in the literature that indicate the need for such a series. Even seemingly simple concepts such as cost or cost-effectiveness in medical education can be misunderstood.2, 3 The idea for the ‘When I say …’ series is that we invite authors to write short, interesting, insightful and engaging articles that offer definitions of concepts within any of a number of relevant issues: a central concept in modern models of education (e.g. problem-based learning); a brief overview of methodological features (e.g. grounded theory), or a concept that has been variably defined in the literature (e.g. fidelity in simulation). Is it all just an exercise in semantics? It might well be and we hope that it will be all the richer for that. In modern parlance, semantics has almost become a term of abuse as academics seem to split hairs over topics that no-one really cares about. But when we say ‘semantics’, we hope to return to the original definition of the term: the study of meaning. Inspiration has come from a range of medical educators who narrate stories and conjure metaphors to go with their theories. For example, validity in assessment can be a difficult concept to understand until you read the explanation put forth by Schuwirth and van der Vleuten: ‘…in the way that a thermometer is a valid instrument to measure temperature and only temperature (and not weight for example), an assessment method is valid only for a certain aspect of competence.’4 Thus, the new series challenges authors to make their articles engaging, rather than simply representing a glossary of terms. Another challenge is to make the complex concise. As we, and many others, have noted, it takes more effort to write a short article than to write a long one.5 We are asking our authors to take their time over a short article in the full knowledge that some concepts will be excluded from the series simply because they cannot be presented with due richness in a brief piece. We want these articles to be as simple as possible without being superficial or misleading. To jumpstart the series, we have commissioned authors to write articles for the next few issues. This month starts with triangulation in medical education research.6 From now on, we plan to open the series to all comers. If you would like to write a piece, then contact the editorial office with a proposal by writing to [email protected]. We would be delighted to hear from you. And if you would use a word differently from one of our authors, then please contribute to the discussion threads at www.mededuc.com.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle