Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.547 | 0.385 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".