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Record W2043992718 · doi:10.7202/1016422ar

The Spread of Commuter Development in the Eastern Shore Zone of Halifax, Nova Scotia, 1920-1988

2000· article· en· W2043992718 on OpenAlexvenueaboutno aff
Hugh Millward

Bibliographic record

VenueUrban History Review · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaShoreGeographyAnticipation (artificial intelligence)Scale (ratio)CartographyPhysical geographyGeologyArchaeologyOceanographyComputer science

Abstract

fetched live from OpenAlex

This study uses evidence from archival and recent topographic maps to plot developing patterns of commuter-induced residential construction in the Eastern Shore sector of the Halifax commuter zone. Building counts were made from 1:50,000 topographic maps surveyed in 1917-20 (pre-commuter situation), 1960—7 (early commuter), and 1988 (mature commuter), and the mapped patterns were analyzed visually and statistically. Both regionally and locally, a typical sequence of development is apparent and is discussed with examples. The evolving pattern of development has been moulded by five sets of variables: access, services, environment, socio-cultural factors, and planning. Some variables operate primarily at the regional scale (notably distance to the city centre), some at the district level (notably distance to an elementary school), and some are highly localized (e.g., the availability of road frontage). The results may be useful for anticipation and control of future development.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.284
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2000
Admission routes2
Has abstractyes

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