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Record W790499438

Reweaving urban fabrics : Urbanisation, industrialisation and regeneration in Southwest Montreal =

2007· dissertation· en· W790499438 on OpenAlexaboutno aff
Desmond Bliek

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2007
Typedissertation
Languageen
FieldSocial Sciences
TopicUrbanism, Landscape, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrialisationRedevelopmentUrban regenerationUrbanizationTypologyEconomic geographyRegeneration (biology)StructuringHistoriographyEconomyGeographyRegional sciencePolitical scienceEngineeringCivil engineeringEconomic growthEnvironmental planningEconomicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In the pages that follow, this thesis examines the urbanisation, industrialisation, and regeneration processes that have shaped the built landscape along Montréal's Lachine Canal. Adopting an approach that sees urban tissue as more than the simple result of agents' interventions, that is to say as a structuring influence itself, the thesis critically examines the history and geography of urban industrialisation, particularly in relation to Montréal, and takes a look at contemporary redevelopment paradigms. After putting forward a morphological methodology and offering a short history of the Canal, the thesis presents the results of an in-depth analysis of urban tissues in adjacent industrial sectors. Proposing a typology of industrial complexes and sectors rooted in the degree of differentiation between industrial elements and the surrounding urban tissue, this thesis argues that urbanisation, industrialisation, and regeneration are diffuse, incremental processes that dialectically engage with the landscapes left by the past. The thesis wraps up with a discussion of the historiographical and practical implications of such a perspective.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.039
GPT teacher head0.305
Teacher spread0.266 · 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 designQualitative
Domainnot available
GenreOther

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

Citations1
Published2007
Admission routes1
Has abstractyes

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