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Record W2022870867 · doi:10.2747/0272-3638.24.4.279

Urban Geography in Transition: A Canadian Perspective on the 1980s and Beyond

2003· article· en· W2022870867 on OpenAlexaffabout
Larry S. Bourne

Bibliographic record

VenueUrban Geography · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUrban geographyPoliticsGovernment (linguistics)Context (archaeology)Human geographyEconomic geographyPublic interestCritical geographyGeographyPolitical scienceSociologySocial scienceHistorical geographyUrban planningLaw

Abstract

fetched live from OpenAlex

The history of most academic disciplines reveals distinct periods of research activity characterized by competing intellectual paradigms, varying student interest and volatile public awareness. This paper asks whether the 1980s was one of those periods for Canadian urban geography. One perspective views the 1980s as a rather dry valley of declining interest, productivity and relevance. In effect, the decade served as a transition period from the vibrancy of urban research in the 1960s and 1970s to the pluralism and renewed urban interest of the 1990s. To test these propositions five indices were developed to measure levels of activity and output in Canadian urban geography and related fields, from the 1960s to the present: government funding, the number and composition of academic journals, government publications, and membership in academic and professional organizations. The results are mixed, but revealing. There is no clear valley of decline in the 1980s, no single trajectory in the evolution of urban geography, and no apparent resurgence of interest or activity during the 1990s. Instead, research activity in the sub-field appears to have declined, to have become more fragmented and dispersed, and to have been subjected to the effects of increased privatization and professionalism. The concluding section explores the reasons for this experience, and emphasizes the fundamental importance of context and timing—changing national social conditions, the political climate and the growth of the urban system under study—in shaping the urban agenda generally and Canadian urban geography in particular.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.176
Teacher spread0.170 · 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 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

Citations5
Published2003
Admission routes2
Has abstractyes

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