The Self-Sufficiency Trap: A Critical Examination of Welfare-to-Work
Bibliographic record
Abstract
This article examines the notion of self-sufficiency as the central goal of recent policy efforts in Canada to move social assistance recipients into the labor market. The authors base their examination on a longitudinal, institutional-ethnographic study of 17 welfare-to-work participants attempting to make the transition from social assistance to employment in the province of Alberta, Canada. Findings from a thematic analysis of in-depth interviews with participants about their day-to-day experiences show that there is a considerable gap between “the promise” and “the reality” of welfare-to-work programs. This gap reveals the difficulties of relying on the goal of self-sufficiency for all citizens, demonstrating how, as an abstract ideological notion, self-sufficiency has shaped concrete policy orientations that affect marginalized citizens by overpromising and underdelivering sustainable employment.
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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 | 0.028 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.022 | 0.074 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 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".