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Record W2298743263 · doi:10.14288/1.0104369

Country residential growth in the Calgary region : a study of ex-urbanization

2011· article· en· W2298743263 on OpenAlexaboutno aff
Jesse Whitehead

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationGeographyEconomic growthEconomics

Abstract

fetched live from OpenAlex

This thesis presents one aspect of urbanization, the country-residential phenomenon. In the study the country residential process and pattern are defined and described in the context of the urban system. Various factors influencing the location of the country residences in this system and the implications of country residential growth to the agricultural industry, the rural municipality, and the resident himself are analyzed. Based on this analysis a strategy for controlling ex-urban growth is suggested. The Calgary Region offers an interesting case study of the process of country residential growth, since this process is the only form of urban decentralization outside the legal City permitted by public policy. Because of this the familiar residential suburbs and industrial parks found around Canadian cities are absent, and instead, isolated residences dot Calgary's periphery. Country residential growth or ex-urbanization is a term describing a process of fringe development in which the individual decision-maker opts out of the mainstream of the residential growth process, suburbanization, but nonetheless chooses to remain part of the urban system and identifies with that system. The country resident is differentiated from the suburbanite by motivation. The suburbanite is in the fringe because that is where the available housing is. The country resident, on the other hand, is there because that is where he wants to be. The country resident values the rural landscape and activities associated with it. By far the most important activities are equestrian. In this study, albeit the survey population was only equivalent to a small city neighbourhood, every occupational grouping was represented. Even though, the randomness and heterogeneity of the country residential pattern implies that no underlying process was responsible for the extant pattern, an analysis of consumer preference did uncover some order in the determinants and the constraints of location. These include (1) the physical environment, (2) the existing road network, (3) accessibility, (4) government policy, and (5) the land market. Presently, the country resident is shown to be less a burden on municipal resources than the city resident is, principally, because the main cost of country residential living fall on the resident himself. Country residential growth, or as it usually is called in this context sprawl, is very much a problem of consumer economics. The cost picture will remain more or less the same up until a suburban form of residential growth occurs in the fringe, wherein the costs are shifted to the public. When this happens the rural municipalities will suffer financial difficulties tantamount to or greater than the central citys’. Aside from the ameliorating cost structure, land resources in the fringe around Calgary are being allocated in a wasteful and completely undirected fashion. The procedure of resource allocation is almost the antithesis of planning but typifies what is occurring throughout Canada.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.196
Teacher spread0.174 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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