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Record W3173893444 · doi:10.5749/buildland.28.1.0084

“This House Was Built by Newfoundlanders”: Race, Reconstruction, and Self-Reliant Landscapes in Southern Newfoundland

2021· article· en· W3173893444 on OpenAlexaboutno aff
Valen

Bibliographic record

VenueBuildings & Landscapes Journal of the Vernacular Architecture Forum · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDominionCommissionSettlement (finance)State (computer science)Human settlementAmateurSociologyPolitical scienceGeographyLawArchaeologyEconomicsFinancePayment

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.204
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBuildings & Landscapes Journal of the Vernacular Architecture ForumSame topicCanadian Identity and HistoryFrench-language works237,207