"Picture Me Different": Challenging Community Ideas about Women Released from Prison « Changez Votre Façon De Me Percevoir » : Remise En Question Des Perceptions Sociales À L'égard Des Femmes Libérées De Prison
Notice bibliographique
Résumé
When a woman enters the criminal justice system, in many ways she is given a life sentence, regardless of her crime. Whether a woman has been apprehended for soliciting, drug involvement, or murder, the stigma that follows her for the rest of her life is rarely, if ever, completely eliminated. The most recent statistics indicate that there are over 1,000 women in federal custody in Canada (Correctional Service Canada, 2010) and 9,000 women in provincial custody (Mahony, 2011). The vast majority of these women will be released at some point and face the difficult challenge of integrating back into the community.Miost female offenders in Canada are not for violent crimes but rather for property crimes. Miost of the violent crimes committed by women are common assault against a known person (Kong & AuCoin, 2008). Although not every story of incarceration is the same, most include a history of trauma (Sahota et al., 2010), substance addiction (Denis, 2007), the need for social assistance (Richie, 2001), single motherhood, and mental health concerns (Sahota et ah, 2010). It is worth noting that incarcerated women are less likely to return to prison than male counterparts. Consequently, the revolving door phenomenon is less applicable to women than men-in other words, women are less likely to reoffend (Kong & AuCoin, 2008).STIGMA AND MARGINALIZATIONFor most women, the precursors to imprisonment place them in a marginalized capacity to start with, and a prison history usually ensures they will remain on the margins of society (Pollack, 2009). Pollack (2009) points out that their marginal status is significantly augmented; they have been severed family, community, and the labour market and, most significantly, carry the stigma of having been criminalized and imprisoned (p. 31). These factors interfere considerably with the chance to gain employment, find housing, reconnect with social supports, and enter into the community (Mahony, 2011).A predominant question across the criminological literature is what role stigma or the label of ex-con plays in the transition process for both men and women (Devah, 2007; Harm & Phillips, 2001). A key labelling theorist, Erving Goffman (1963), proposed that when a person or group of people is considered bad, or dangerous, or weak, they are reduced from a whole person to a tainted or discounted one (p. 3). Challenging the labels that are typically hung on these women demands not only advocacy on part but also a receptive general public. Researchers have determined that raising the profile of a labelled group, thereby educating the general public, can affect the way a stigmatized group is viewed (Braithwaite, 2000; Braithwaite & Mugford, 1994; Martinez, Piff, Mendoza-Denton, & Hinshaw, 2011).The rationale for this research is grounded in the need for research and action that will raise the awareness of policy makers and community members in order to support women transitioning prison in the struggle to overcome a broken past, cobble together a functional future, and regain, in the eyes of the community, identities that more accurately reflect the depth of experience. To that end, the objectives of this action-oriented research were threefold: (a) to work together with female parolees and facilitate the exploration of lived experiences a unique and creative perspective, (b) to collaboratively create a visual depiction of the lives or challenges of female parolees, and (c) to explore available opportunities to bring the visual and oral or written results of the project to the greater community through public exhibition and/or publication of the material (subject to group agreement). Thus, the ultimate aim of this qualitative action-oriented study was to increase insight and self-awareness through photography and storytelling for the participants and raise community awareness through public exhibitions of the photographs and commentaries created by the participants. …
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 | 0,017 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,042 | 0,040 |
| Communication savante | 0,016 | 0,013 |
| Science ouverte | 0,004 | 0,018 |
| Intégrité de la recherche | 0,007 | 0,019 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».