Bibliographic record
Abstract
Dear readers, I am pleased to introduce the 2021 Issue of IJCAR, the International Journal of Child and Adolescent Resilience, addressing various aspects of youth resilience. We also have a thematic section focused on resilience in Indigenous and multicultural populations. This issue includes five regular articles on different aspects of resilience. First, Lafrenaye-Dugas et al. document the sources of distress of adolescent boy victims of physical violence within their romantic relationships. Then, Martinez and her colleagues examine the effect of disclosure on resilience in adult female victims of childhood sexual abuse. In the following paper, Dr. Medico proposes a theoretical model of trans affirmative approaches for trans and non-binary youth based on Axel Honneth's ethics of recognition model (2000; 2006). Richard et al. investigate the role of perceptions of harm and perceived peer and parental attitudes towards substance use in the association between adverse childhood experiences and substance use in adolescents. Finally, Villate and her colleagues document the subjective experiences of emerging adults who have a parent with a mental disorder and suggest ways to support their resilience in the transition to adulthood. In addition to these regular articles, we also have a commentary on the 5th World Congress on Resilience by Dr. Ionescu and a thematic section focused on resilience in Indigenous and multicultural populations. This section presents five articles on the effects of the Lantern|Awacic sexual violence prevention program training for workers in Indigenous care settings (Attard et al.), the relations between virtues, well-being, and resilience in Indigenous youth in the Peruvian Amazon (Bullock et al.), Child Maltreatment-Related Investigations of Children from Newcomer Households in Canada (Houston et al.), a review of the use of mobile applications to support Indigenous youth well-being (Noronha et al.), and finally, the validation of the Child and Youth Resilience Measure (CYRM-28; Ungar & Liebenberg, 2011) in Nicaraguan youth. I wish to take this opportunity to warmly thank each member of the IJCAR team, namely Dr. Isabelle Daigneault, Dr. Rachel Langevin and Dr. Tara Black, associate editors; Catherine Moreau, managing editor; Manon Robichaud, layout editor; Andréanne Fortin, senior copyeditor; and Ruo Feng, Sereena Pigeon, and Carley Marshall, junior copyeditor. We hope you enjoy your reading! Don’t forget to prepare your manuscripts for the 2022 issue. In addition to regular papers, we will feature a thematic section on research presented at the Child and Youth Trauma Symposium. Submit your manuscripts in English or in French by November 15th, 2021. Please feel free to send the information to colleagues and students who may be interested. 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.422 | 0.271 |
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".