Identity, connection & responsibility: insights from feminist poststructuralism and the ethics of care on homelessness in Canada
Bibliographic record
Abstract
Recent narratives on homelessness and poverty in Canada at the time of COVID-19 have exposed contradictions and limitations to dominant conceptualizations of connection, responsibility, and care. The global pandemic has highlighted routes of connectivity that are normally obscured, and has thus prompted a surge in advocacy for the responsibility to care for the wellbeing of others to whom such a responsibility is not normally recognized. However, this sentiment of care has not been similarly extended to unhoused persons among the most vulnerable to the social, economic, and public health consequences of COVID-19. This thesis explores this contradiction as the product of neoliberal logics that individualize homelessness, stigmatize the people experiencing it, and deny the domiciled population’s connection to the phenomenon and their shared responsibility for addressing it. Against neoliberalism’s description, diagnosis, and treatment of homelessness, this thesis examines the ethics of care and feminist poststructuralism as frameworks that can expand limited conceptualizations of connection and responsibility. The author argues that together, feminist poststructuralism and the ethics of care provide the impetus and foundation for countering the stigma of homelessness, the narratives that distance and separate the domiciled against the unhoused, and ultimately the inadequate social and political treatment of homelessness.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.052 | 0.086 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".