“This House Was Built by Newfoundlanders”: Race, Reconstruction, and Self-Reliant Landscapes in Southern Newfoundland
Bibliographic record
Abstract
This essay examines self-reliant landscapes in Depression-era Newfoundland and their role in addressing colonial anxieties. It argues that self-built housing was a tool for smoothing over aspects of Newfoundland's reality that were incongruous with observers' perceived standards of Britishness. The essay focuses on a small-holdings land settlement established in 1939 near Marystown and supervised by the American social reformer and amateur architect Mary Ellicott Arnold. In 1933, Newfoundland's self-government collapsed, leading British authorities to reinstate direct rule over the dominion. British commissioners were struck by the degraded state of the country's social and physical geography. In 1934, they initiated a land settlement program in an effort to rehabilitate rural fishing families' economic and social standards by turning them into self-reliant homesteaders. In addition to reducing the amount of money spent on poor relief, land settlements taught fishing families individual responsibility and promoted the sexual division of labor. In Marystown, settlers also built their own homes, using money and expertise provided by the state. Arnold's correspondence, photographs, and drawings offer a rare glimpse of how the commission's policies were implemented on the ground, as well as the critical importance of architecture within the commission's matrix of social reform policy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".