Canada’s Reluctant Housing Program: The Veterans’ Land Act, 1942–75
Bibliographic record
Abstract
The Veterans’ Land Act was a major element in the package of programs designed for Canadian veterans after the Second World War. It was primarily intended to promote farm settlement, although a provision for small holdings was supposed to enable urban workers to enjoy the benefits of rural living. To this end, from the late 1940s, they were given assistance in building their own homes. In fact, the small holdings proved the most popular aspect of the Land Act, making it into a de facto urban housing program. Thousands of urban veterans recognized that this provision could help them obtain homes at the suburban fringe. Together with veterans’ organizations and elected representatives, they lobbied the government to adapt small holdings to better suit their needs, chiefly by reducing the minimum lot size requirement below 2 acres. They met with some success. Although the anti-urban sentiment of policy makers limited its impact, the small holdings scheme was the most popular and effective of all government housing programs in the early postwar decades. Abstract: La Loi sur les terres destinees aux anciens combattants a ete un element majeur de ľensemble des programmes concus pour les anciens combattants canadiens apres la Deuxieme Guerre mondiale. Cette loi avait pour but de favoriser ľetablissement de fermes, bien qưune disposition visant les petits lopins de terre dut permettre aux travailleurs de la ville de profiter des avantages de la vie a la campagne. Dans ce but, a partir de la fin des annees 1940, ils recurent de ľaide pour construire leurs propres maisons. En realite, la disposition concernant les petits lopins se revela etre le volet le plus populaire de la Loi sur les terres, en en faisant de fait un programme ďhabitation urbaine. Des milliers ďanciens combattants reconnurent que cette disposition pourrait les aider a obtenir une maison en peripherie de la ville. De concert avec les organisations ďanciens combattants et leurs representants elus, ils firent pression aupres du gouvernement pour modifier le morcellement des terres, afin qưil reponde mieux a leurs besoins, surtout en reduisant a moins de deux acres la superficie minimum exigee pour le terrain. Ils y reussirent en partie. Bien que le sentiment anti-urbain des responsables des politiques en limitât les retombees, le plan des petits lopins fut le plus populaire et le plus efficace de tous les programmes de logement gouvernementaux dans les premieres decennies de ľapres-guerre.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".