Notice bibliographique
Résumé
Dear readers, I am pleased to introduce the 2022 Issue of the International Journal of Child and Adolescent Resilience (IJCAR). This issue includes: six regular articles on varying aspects of hardships and resilience in different populations; three scoping review papers on trauma and maltreatment; two clinical interventions surrounding the COVID-19 pandemic; and one brief report on implementing trauma informed care. In particular, the six regular articles shed light on hardships experienced by differing populations and their resilience. Firstly, Blais et al. examined experiences of family victimization of sexual and gender minority adolescents and emerging adults, and the factors promoting well-being and resilience. Secondly, Drawson and colleagues implemented a measurement tool that was used to assess the well-being of First Nations children. Thirdly, Langevin and colleagues investigated the role of family relationships and psychological distress in relation to four child maltreatment subtypes, as well as child abuse potential in young mothers in their prospective longitudinal study. Fourthly, Mueller et al. aimed to examine children and adolescents’ emotional and mental experiences after enduring a sport-related concussion, with intentions to help athletes during their recovery. Fifthly, Romano and Stenason emphasized two in-service training programs to help provide support to resource parents for their work as caregivers. Finally, Summers and Van Camp aimed to gain insight into young adults’ experiences during adolescence with education on sexual consent and coercion, with intentions to obtain their perceptions and provide possible curriculum improvement. Furthermore, the 2022 issue of IJCAR also includes three scoping review papers that examined trauma and maltreatment. This section focused on bridging gaps in the literature related to: identifying theoretical or conceptual frameworks which have been utilized when explaining victim-to-victim cycles of maltreatment (Marshall et al.); exploring youth with adverse childhood experiences (Wei et al.); and determining the relationship between self-compassion and psychological distress, and how this differs across child maltreatment types (Wong et al.). The current issue further denotes the impacts of the COVID-19 pandemic with two clinical intervention studies. Berthelot and colleagues evaluated the acceptability of the STEP-COVID program, which is an online synchronous prenatal intervention to support wellness, mentalization, and resilience during the pandemic. Santavicca and colleagues emphasized an intervention focused on mitigating COVID-19 vaccine tension in schools, while also proposing prevention and interventions for conflicts surrounding COVID-19 vaccination. Finally, the issue ends with a brief report by Huartson et al., regarding the implementation of a pilot trauma-informed care initiative with intentions to foster resilience in a maternity care clinic, which focused on determining barriers and facilitators for family physicians, when questioning patients about their adverse childhood experiences. 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, and Dr. Rachel Langevin; managing editor, Catherine Moreau; layout editor, Manon Robichaud; and senior copyeditors, Andréanne Fortin and Teresa Pirro, all of which have done a terrific job in their varying roles. I also want to take this opportunity to welcome Dr. Nicole Racine 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 | 0,003 | 0,017 |
| 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 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,547 | 0,385 |
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 ».