“Wading Against a Tide”: Emotions, Ethics and the Interstitial Space of Community Service Provision for Criminalized Mothers.
Bibliographic record
Abstract
In this dissertation, I examine how community-based service providers support criminalized women navigating motherhood, substance use and identity change. To date, researchers have focused on the experiences of incarcerated people, with lesser attention paid to post-release realities. A dearth of research focuses on community-based organizations and the service providers that work within them to support criminalized people. \n \nCommunity service provision involves navigating the emotional dimensions of providers' work while supporting clients through emotionally charged experiences. Emotions are culturally and socially shaped experiences and are entangled in the precarity, structural and systemic conditions experienced by criminalized people. Service providers support their clients and witness emotions experienced by their clientele as they navigate child protection systems, substance use recovery and identity change processes. Simultaneously, service providers engage in emotion management while encountering the intimate details of their clients' lives and advocating for them against the realities and gaps of criminal legal, child protection, and welfare systems. \n \nIn this interstitial space of service provision, I ask how service providers engage in this emotion management strategies to support criminalized women. I examine the role of service providers in the context of structural and systemic gaps experienced by their clients. Through interviews with 23 community-based service providers working with criminalized women in Atlantic Canada and reflexive journaling, I argue that service providers engage in the emotional terrain of supporting their clients. I mobilize the concept of emotional-ethical dilemmas, which I argue form the backdrop of service providers’ work and highlight the constraints in their capacity related to organizational mandates, limited funding, and compassion fatigue. \n \nKey findings underline the importance of trauma-informed and harm reduction practices and services as supports for criminalized women and to ease the emotional-ethical dilemmas experienced by service providers. The findings draw attention to the persistent complex unmet needs of criminalized women in Atlantic Canada, such as housing and poverty. I argue that community service providers largely fill gaps in how the state fails to attend to these needs. These unmet needs highlight how we respond to and support community-based service provision working to support criminalized women in the context of systemic and structural gaps, not individual failures.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.038 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".