A Matter of Managing an Inner City Resource; Using Existing Buildings in Inner City Areas to Provide Low-Income Housing
Bibliographic record
Abstract
In Canada, the late 1970's and 1980's are seeing an increasing proportion of private funds being invested in inner city commercial and residential property. The inner city's continuing role as a source of low-income housing is in doubt. This study considers how this private activity provides an interesting opportunity and challenge to planners to integrate public housing policy and programs with private goals and projects. To this end, the study reviews municipal planning policy and government housing programs as they relate to the provision of low-income housing in urban areas by utilizing existing buildings, of all kinds, in the inner \ncity. \nTwo sources of information are used in the study - the literature and primary data collected from professionals involved in housing production and planning. For the latter, questionnaires were prepared and administered to four municipal planners and three financiers. Information was also solicited from other government officials. \nThe study concludes that low-income housing production can be increased through greater use of existing building stock in inner city areas. To this end, recommendations for both.municipal planning and government housing programs are made.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".