Embracing interdisciplinarity: CJAS's strategic vision for the future
Notice bibliographique
Résumé
The Canadian Journal of Administrative Sciences (CJAS) enjoys an excellent reputation for its high-quality scholarship that brings together all disciplines traditionally and more recently represented at business schools and departments related to administrative sciences. The multidisciplinary and bilingual character of the journal is unique in our journal landscape. Most recently, the new editorial team has expanded our portfolio to include new submission formats that will further strengthen our unique positioning and attract articles aiming at capitalizing on interdisciplinarity. While we retain our current submission options for research articles, our interdisciplinary lens will be strengthened by offering three more submission formats. The first two are closely connected. Phenomenon-driven submissions follow the Science and Nature format and focus on the discussion of data. We encourage discussion papers that offer reinterpretations of the original submission. The third new article format is policy papers. We believe that a journal offering a platform for interdisciplinary discussions is uniquely suited for offering policy advice, and we encourage submissions focused on policy. We currently have three special issues underway that will provide focus for submissions that address core challenges of our time. The launch special issue of phenomenon-driven papers invites submissions on grand challenges and is managed by our guest editors Benson Honig, Addisu Lashitew, Yuanfang Lin, Sandeep Mishra, Jon Thomas, and Peng Zhang. The two other special issues feature topics in Entrepreneurship, AI and Cybersecurity, as well as long-lived family firms. CJAS is popular in Canada and with a worldwide audience. Many schools in Canada have tenured faculty members who have relied on their publications in CJAS to contribute to favorable tenure decisions. We are committed to further strengthening our position as a part of the Canadian higher education landscape. In addition, we have appointed a range of internationally based editors, better reflecting the diverse submissions we receive, particularly from Asia, Europe, and South America, as well as from Africa and Australia. Our efforts to strengthen the journal in its entirety are also guided by our revised aims and scope that now read as follows: The Canadian Journal of Administrative Sciences (CJAS) is a multidisciplinary and inter-disciplinary, peer-reviewed, international quarterly. Its purpose is to publish manuscripts that advance theory, deepen understanding of phenomena and advance policy across all key and emerging disciplinary areas of business. We welcome research articles that develop theory in a substantive and thought-provoking manner. Such articles can comprise literature reviews, quantitative and/or qualitative approaches, and conceptual pieces. Moreover, we encourage short phenomenon-driven submissions and related dialog pieces that offer the opportunity to examine and discuss interesting and engaging data. Furthermore, policy papers should synthesize insights from several disciplines and present compelling solutions, supported by empirical evidence, to address current and future policy challenges. In this way, CJAS is centrally concerned with curating theoretical and praxis-orientated foresight that will address 21st century issues. We are entering into this new age for CJAS, building on the excellent work of the previous editorial team and, notably, the outstanding leadership provided by Michel Laroche in steering the journal. Our Editors, Associate Editors, Guest Editors, and all the reviewers have worked hard and continue to do so aiming to grow the journal and increase its peer recognition. I also want to thank Shamsud D. Chowdhury, our outgoing President of ASAC, as well as the members of the Executive Board for their strong support of CJAS.
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 | 0,212 | 0,137 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,011 | 0,009 |
| Études des sciences et des technologies | 0,031 | 0,030 |
| Communication savante | 0,070 | 0,043 |
| Science ouverte | 0,010 | 0,023 |
| Intégrité de la recherche | 0,036 | 0,044 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,007 |
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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».