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Enregistrement W2057484739 · doi:10.1111/medu.12242

‘When I use a word, it means just what I choose it to mean – neither more nor less’

2013· editorial· en· W2057484739 sur OpenAlex

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Notice bibliographique

RevueMedical Education · 2013
Typeeditorial
Langueen
DomaineArts and Humanities
ThématiqueLanguage, Discourse, Communication Strategies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMeaning (existential)Simple (philosophy)Word (group theory)PsychologyLinguisticsEpistemologyPhilosophyPsychotherapist

Résumé

récupéré en direct d'OpenAlex

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,163
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0030,002
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0280,002

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.

Tête enseignante Opus0,052
Tête enseignante GPT0,346
Écart entre enseignants0,294 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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