Assessing the capacity of Winnipeg's nonprofit housing providers
Bibliographic record
Abstract
In Winnipeg, decent, affordable low-cost housing is in short supply.Governments have increasingly played a reduced role in the provision of social housing.As a result, nonprofit organizations and municipalities are providing the bulk of new affordable housing units.However, their ability is threatened with reduced spending and little governmental support.This thesis provides an examination of the literature pertaining to nonprofit capacity.Furthermore, a summary of the policy environment, programs and organizations operating within Winnipeg is offered.Through key informant interviews, the capacity of Winnipeg's nonprofit housing orgarizations was assessed.For the purpose of simplification, the complexity of capacity was compartmentalized into intemal, extemal and output capacity.Through the empirical findings, it has been established that Winnipeg's nonprofit organizations are facing challenges with intemal, external and output capacities.However, it was determined that any lack in capacity directly corresponded to funding restraints.include increased funding for capital costs, flexible funding and increased rental subsidies to aid nonprofits in their mandate.This thesis argues for the creation of a national housing program that would 48STR4CT......
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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 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".