Education: Fitting In or Standing Out: What Will Change in Nursing Education Over the Next Five Years?
Notice bibliographique
Résumé
When I graduated from my nursing program in 1981 I was one of a rare breed: a “basic” baccalaureate graduate nurse. I recall being told then that only 20 per cent of nurses in Canada graduated with an undergraduate nursing degree. In some rather unusual ways, I had to fight my way into practice. My nursing colleagues, all of whom held a diploma in nursing, had a hard time understanding what it meant to have graduated from a degree program. The assumption was that I had probably read a lot of books and had thought about practice, but likely had never actually practised and would not want to engage in “hands-on” practice. Indeed, seeking an initial position in nursing during the summer prior to my final year in university, I made inquiries at a small rural hospital. I had bought into the rhetoric that, as a “university” nurse, I would need a great deal more experience than I had obtained in my nursing program before I could succeed as a nurse. I was desperate to fit in. When I inquired into the availability of nursing positions, I was met by a Director of Nursing who, looking at me suspiciously, asked me if I was after her job! Twenty-one years later, the government of British Columbia approved a budget for the Ministry of Advanced Education that would enable all students entering nursing programs in that province to complete a baccalaureate degree in nursing by 2005. We were not the first province to make this policy decision. We have followed Ontario, Saskatchewan and the Atlantic provinces. We are ever watchful that what happened in Manitoba (achieving entry-to-practice only to lose it again) does not happen here. This is a precarious existence indeed. Precarious – but powerful. It is my view that this policy decision could, if we support it, change nursing radically. The entry-to-practice “debate” has been with us as long as I have been involved in nursing education. As I was making decisions about where to enroll Fitting In or Standing Out: What Will Change in Nursing Education Over the Next Five Years?
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,057 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,007 |
| Communication savante | 0,012 | 0,017 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,010 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».