Victim Services’ Implementation of Mobile Tracking Systems for Victims of High-Risk Gender-Based Violence Cases in Ontario
Notice bibliographique
Résumé
Since 2012, Ontario Victim Services providers have been a leading force in implementing Mobile Tracking Systems, a technological device some victim advocates and law enforcement officials believe will reduce risks in gender-based violence cases. The Mobile Tracking System resembles a small pager-like device that clients carry at all times. When activated in a high-risk gender-based violence emergency, the device aims to facilitate timely law enforcement assistance by emitting a GPS tracking signal and alerting first responders to a ‘Priority 1’ call. Mobile Tracking Systems have undergone a rapid increase in attention by the media, government, service providers, and wider public as the devices are perceived to be a safety-enabling technology for gender-based violence cases. Mounting calls to fund such technologies have emerged in light of pandemic safety measures and during a 2022 Coroner’s Inquest held to investigate a triple femicide in Renfrew County, Ontario. In this Inquest, the Jury recommended that Mobile Tracking System technologies be funded by the Government of Ontario, while recently in Quebec, 41 million dollars was invested into GPS tracking technologies for gender-based violence cases. Despite gaining substantial traction in public and media discourse, Mobile Tracking Systems have been underrepresented in scholarly literature. To respond to this gap, this thesis employs qualitative methods to examine Mobile Tracking Systems in the context of gender-based violence cases in Ontario. In particular, through the examination of 91 textual documents and 10 semi-structured interviews with service providers involved in case referral and the administration of Mobile Tracking Systems, this study traces the history, development, and use of Mobile Tracking System devices in the context of gender-based violence cases in Ontario, and investigates the impact of panic button alarms on criminal justice responses to gender-based violence. To examine Mobile Tracking Systems, this thesis draws on relevant theoretical frameworks in the fields of Science and Technology Studies and critical perspectives on law and criminal justice. By tracing the development of panic button alarms to their current use in Ontario, this thesis reveals a shift toward pro-carceral safety measures that embrace technology as a perceived tool to reduce gender-based violence. As this thesis details, approaching safety work in this manner not only reflects, but also perpetuates particular assumptions about victims that pressure them to align their behaviour with the goals of the criminal legal system. The thesis argues that designing and administering a technological tool for victims of gender-based violence that centers the criminal legal system has direct impacts on victims when seeking support. The findings of this project have implications for Ontario Victim Services providers, police services in Ontario, and other agencies that support victims of gender-based violence cases, as they draw attention to how the implementation of panic button alarms as a perceived safety-enabling technology directly impact victims accessing support services for gender-based violence cases. Finally, the study’s findings can inform policy and practice related to the GPS tracking \ntechnologies in the context of mounting calls to fund panic button alarm technologies in Ontario.
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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 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,014 | 0,006 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
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 ».