MétaCan
Menu
Retour à la cohorte
Enregistrement W4392986589 · doi:10.32920/25443772.v1

Review of the Internet Child Exploitation (ICE) Counselling Program in Ontario

2024· preprint· en· W4392986589 sur OpenAlexaboutno aff
Jennifer Martin, Andrea Slane, S. C. Brown, Kate Hann

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineComputer Science
ThématiqueCybercrime and Law Enforcement Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThe InternetPsychologyInternet privacyComputer scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

This report presents the findings of a review of the Internet Child Exploitation (ICE) Counselling Program, which is funded by the Ontario Ministry of the Attorney General and facilitated by Boost Child & Youth Advocacy Centre (Boost CYAC). The ICE Counselling Program provides referral and funding for short-term counselling for victims of online child sexual exploitation (CSE) and their non-offending impacted family members. This review took place between May and October 2021. Former clients, their impacted family members (IFMs), counsellors, and ICE Counselling Program administrators took part in virtual interviews that sought to understand the value and challenges of this program. Boost CYAC is a pioneer in fulfilling its role as facilitator of the only program of its kind in Canada: the report aims to learn from the experiences of clients, counsellors, and administrators to understand the impact of the ICE Counselling Program and gather suggestions and recommendations. Through semi-structured interviews, all participants were encouraged to reflect on both the value and any challenges that they may have experienced while receiving or providing services through the program. There was overwhelming support for the ICE Counselling Program from all review participants. The opportunity to address the unique harms that are experienced because of online CSE was a considerable value provided to victims and their families. Additionally, the minimal wait time between referral and connection to a counsellor was praised by most participants, as the wait time for other children’s mental health services in Ontario is considerably longer. Counsellors, administrators, and IFMs also highlighted the importance of providing funding and counselling services to caregivers and other members of a victim’s family, as it validated the significance of the impact that this type of victimization has on the family unit. Suggestions for addressing challenges included the following: improving awareness about the existence and scope of the ICE Counselling Program; requiring counsellors to work within a trauma-informed framework; providing specialized clinical training and supervision specific to counselling victims of online CSE; providing optional psychoeducation and orientation to new clients and their IFMs; enhancing funding for victims and families that need it; providing a choice of virtual or in-person counselling; increasing administrative infrastructure; and improving invoicing systems. All participants advocated for the establishment of the ICE Counselling Program model in other jurisdictions, given the strong need and clear value, and based on the findings, the review provided a detailed, rich description of the many aspects of the ICE Counselling Program that work well and also where there is room for growth, from which we were able to produce recommendations for how the program could be improved with a view toward establishing best practices. With this aspirational goal in mind researchers conclude that investing in professional development and clinical supervision for ICE counsellors is one important means to achieve the best possible outcomes for online CSE victims and IFMs, thereby facilitating the development of a specialized community of practice, able to provide specific trauma counselling to victims of online CSE. Such a professional network could foster the further development of an evidence base, currently lacking in both the academic and clinical literature, that would lead to establishing and confirming best practices. A strong professional support network could further serve as a means to recruit and retain counsellors to this challenging area of practice.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,122
Score d'incertitude au seuil0,503

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,040
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0100,027
Études des sciences et des technologies0,0030,002
Communication savante0,0030,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,039
Tête enseignante GPT0,286
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetCybercrime and Law Enforcement StudiesTravaux en français237 207