Notice bibliographique
Résumé
Dear readers, I am pleased to introduce the 2023 Issue of the International Journal of Child and Adolescent Resilience (IJCAR). This issue includes: two regular articles on trauma and maltreatment and associated impacts; three brief reports on varying aspects of hardships and resilience in different populations; and one theoretical paper about a narrative shelter model to give youth who experienced violence a voice and choice. In particular, the regular articles shed light on hardships and resilience experienced by differing populations. Bégin and colleagues examined the effects of using the internet survey method compared to a population-based telephone survey method on the profile of women with a history of child sexual abuse, in terms of socio-demographic data, victimization experiences, and mental health symptoms in adulthood. Jamison and colleagues aimed to gain insights on youth of color in the United States who have experienced violence regarding the associations between resilience and psychological health, social support, and school engagement. Furthermore, the 2023 issue of IJCAR also includes three brief reports on different topics associated to experiences of trauma, maltreatment, and resilience in various populations. Firstly, Brend et al. compared a sample of Finnish social workers serving children and families or social workers in other domains, in terms of the associations between moral distress and burnout amongst these groups. Secondly, Frederickson et al. investigated whether child maltreatment predicted the severity of posttraumatic stress disorder symptoms and symptom clusters for Canadian women during pregnancy, as well as changes in symptoms from pregnancy to three months postpartum. Finally, Souza et al. aimed to determine if social media in Brazil is a viable outlet for the dissemination of empirically supported information surrounding the topics of child abuse, adverse childhood events, and resilience. Finally, the issue ends with a theoretical paper by Nyirinkwaya and Jenney, regarding a shelter narrative model for research and practice on childhood experiences of intimate partner violence in young people, in order to integrate storytelling and storylistening to help youth exercise their voice and choice. Thus, we encourage you to read these various articles to obtain rich information about ongoing research in the field of resilience. I wish to also take this opportunity to sincerely thank all the members of the IJCAR team for their continuous and dedicated work in the editing and publishing process. Particularly, I wish to thank our associate editors, Dr. Tara Black, Dr. Delphine Collin-Vézina, Dr. Isabelle Daigneault, Dr. Rachel Langevin, and Dr. Nicole Racine; layout editor, Manon Robichaud; and managing editor and senior copyeditor, Teresa Pirro, all of which have done a fantastic job in their varying roles. I also want to take this opportunity to welcome Dr. Roxanne Guyon as a new associate editor. We hope you enjoy reading the current issue! This is also a friendly reminder to prepare your manuscripts for the next issue. Please submit your manuscripts in English, or in French, and feel free to forward this information to colleagues and students who may be interested. We look forward to your manuscripts and to the next issue of IJCAR. Happy reading! Martine Hébert, Editor-in-Chief
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 | 0,002 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,010 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,375 | 0,276 |
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 ».