Government restructuring and settlement agencies in Vancouver: bringing advocacy back in1
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
Abstract Welfare state restructuring during the 1990s changed the landscape of settlement services in Vancouver, creating a more uneven geography of provision, and increasing gaps between community needs and the services available. The voluntary sector faces a potential loss of autonomy, distortion of agency mandates, dangers of increased bureaucratisation and commercialisation, greater difficulty responding to community needs, and decreasing ability to undertake advocacy, all of which potentially result in a loss of legitimacy. This chapter discusses the creation of new and diverse landscapes in the major urban centres in Canada. It presents a case study of Vancouver, illustrating that welfare state restructuring in the late 1990s fundamentally reshaped settlement services in Canada. The study examines how settlement agencies negotiated this critical period of initial restructuring, focusing on three large non-profit agencies that dominated settlement service provision in the Vancouver area: the Immigrant Services Society, the Multilingual Orientation Service Association for Immigrant Communities, and the United Chinese Community Enrichment Services Society. It is argued that restructuring changed the landscape of settlement services in several important ways. The most significant change, however, was the growing importance of what one settlement worker referred to as ‘big advocacy’.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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