Making occupations possible? Critical narrative analysis of social assistance in Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social assistance is a program created to alleviate extreme poverty by providing payments to people with little or no income. It has been heavily criticized due to the conflicting nature of its two main objectives, alleviating poverty and promoting self-sufficiency. The purposes of this research were to present a richly textured account of the lived experience of persons receiving social assistance in Ontario, Canada and to explore how their occupational possibilities are influenced by broader social contexts and policy. We used critical narrative analysis, which combines hermeneutic phenomenology with critical theory, to interrogate the data from a governmentality perspective. We uncovered common aspects of participant experiences related to the social system, the community, and individual factors and demonstrated tensions created by neoliberalism: the Neoliberal Paradox, the Welfare-to-Work Paradox, and the Caseworker Paradox. Social assistance recipients lack the opportunity and resources to make everyday choices and to have decision-making power as they participate in occupations. Through a better understanding of the social and political processes that create social assistance, while considering the lived experience of its recipients, occupational scientists will be better able to identify and rectify occupational injustices for people living in poverty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it