Looking Abroad for Inspiration to Enhance the Scholarly Work We Do at Home
Notice bibliographique
Résumé
Growing up in Saskatchewan (a province on the Canadian prairies), I was fascinated with tales of exploration and dreamt about sailing off in search of adventure and new experiences.My family didn't travel much (aside from an epic road trip through South Dakota) but I was an avid reader with an imagination greater than average.I remember when my grandmother was one of the first people in my city to 'get the internet' and I would spend hours in her basement (it was dial-up after all) navigating my way through online encyclopedias and articles in my quest to learn everything I could about the world and the way people lived outside of what I knew.I was 16 years old when I finally left North America on a 2-week exchange to Japan.I'm pretty sure my parents were hoping this would satisfy my itch to travel (at least for some time) but it just got stronger from there.Next came England, and then Australia.Now, 20 years later, I have been privileged to visit, live, and work in many countries across the globe.One of the things I have learned throughout my journeys is that each time I step out of my own routine and setting, I learn something valuable about the world unknown to me before.Like how we learn when we travel, visit a museum, or watch programming that depicts how the world works outside of our own settings, there are endless lessons we can also learn from international scholarship and peers within the academy.Such as the experience of learning a new language, cooking technique, or how to access public transit, international scholarship can open our minds to different perspectives and new ways of understanding the data we collect, analyze, and share.While it may be easy to disregard a study reported from a different country (or even state or province) because we immediately question its relevance, we may be overlooking important considerations and learnings that can help extend our scholarly conversations and improve applicability of our own work to others.One of my favorite things to do when traveling is to attend a local cooking class.Whether it is using a new ingredient to enhance the flavor of a usual Tuesday night dinner or learning a new method to put things together in a different way (e.g., onion and chili grinding in Ghana!), we usually end up with something interesting, tasty, and many times enhanced from our usual routines and recipes.The same can be said when designing and implementing new educational research and scholarly projects.Perhaps there is a new audience response system gaining traction in the U.K. that might be adaptable to our own contexts, or a new simulated patient training program out of Malaysia that accounts for social and cultural variables known to influence assessment that may be applicable to our own diverse populations.Identifying these 'new' tools and methods and incorporating them into our local work and research may help to elevate our scholarship, bring international interest to our work, and keep those Wednesday morning writing sessions as appealing as the revamped Tuesday dinner the night before!Some of the most memorable moments I've had abroad are the conversations with locals and other tourists alike.It is always fascinating to learn about different ways of life, compare where our routines align and depart, and understand how cultural or contextual nuances may shift how people live, work, and play.I find that these points also make for great conversation starters with my friends and family after returning home.In the same way, international scholarship can be used to extend the conversations within our writing by forming part of our theoretical or conceptual frameworks, identifying cultural or contextual factors that may need to be considered for future scholarly work, or through discussions of how our findings align (or differ) from the broader global research in our area of study.1,2 Being able to discuss applicability or alignment of findings from a study in Canada with one from Chile, for example, may broaden our perspectives and lead to greater relevance of our results.Alternatively, findings that do not align with studies outside of our own settings may spark interesting research questions around cultural or contextual differences that could be further explored.3 Just as we like to keep in touch with friends we've met abroad via social media or otherwise, it is quite possible
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 | 0,009 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,026 | 0,017 |
| Communication savante | 0,029 | 0,013 |
| Science ouverte | 0,003 | 0,022 |
| Intégrité de la recherche | 0,005 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,090 | 0,097 |
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 ».