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Urban Expansion and Industrial Nature: A Political Ecology of Toronto's Port Industrial District

2008· article· en· W2119790242 on OpenAlexaffabout
Gene Desfor, Lucian Vesalon

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsIndustrialisationPoliticsPort (circuit theory)IdeologyPolitical ecologyEconomyIndustrial districtCapital (architecture)SociologyEconomic geographyPolitical scienceGeographyRegional scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

Abstract This article analyses political and economic practices involved with the production of an industrial form of socio‐nature — the Port Industrial District — during the early decades of the twentieth century in Toronto, Canada. Informed by historical documents from that period, as well as using contemporary concepts from urban theory, we analyse the creation of a major land mass and southern extension of Toronto within a political ecology framework. We explicitly link the concept of socio‐nature with the dynamics suggested by theories of capital and spatial expansion, thereby bringing ‘nature’ into a more central position in understanding urban development processes. The Toronto Harbour Commissioners, the central organization in this land‐creation process, reflected, we argue, more the ideological preferences and economic interests of local elites than an efficient institutional design for solving a multi‐dimensional ‘waterfront problem’. The harbour commission and its supporters envisioned and promoted the new industrial district, the pivotal section of its 1912 waterfront development plan, as a general strategy for intensifying industrialization and growth of the city. The massive infrastructure project is best understood as a spatio‐temporal fix to productively absorb capital through spatial expansion and temporal deferment. A new institutional arrangement consolidated political and economic relations through practices that made possible the production of a new form of socio‐nature and reshaped the eastern section of Toronto's central waterfront as an industrial landscape. Résumé Cet article analyse les pratiques politiques et économiques impliquées dans la production d’une forme industrielle de socio‐nature, le quartier industriel portuaire de Toronto, dans les premières décennies du XX e siècle. À partir de documents historiques de cette époque et de concepts contemporains propres à la théorie urbaine, est analysée la création d’une zone terrestre considérable et d’une extension du Sud de Toronto dans un cadre d’écologie politique. Nous associons explicitement le concept de socio‐nature et les dynamiques suggérées par les théories de l’expansion du capital et de l’expansion spatiale, ce qui recentre la "nature" dans l’appréhension des processus d’aménagement urbain. À notre avis, les commissaires du Havre de Toronto, organisme central chargé de la création de ce terrain, ont davantage traduit les préférences idéologiques et les intérêts économiques des élites locales qu’un projet institutionnel efficient pour résoudre un "problème de front de mer" multi‐dimensionnel. La Commission du Havre et ses partisans ont imaginé et défendu le nouveau quartier industriel, composante‐clé du plan d’aménagement du front de mer de 1912, comme une stratégie d’ensemble visant à intensifier l’industrialisation et l’essor de la ville. Or, l’énorme projet d’infrastructure se comprend mieux en tant que solution spatio‐temporelle pour absorber des capitaux de manière productive par le biais d’une expansion spatiale et d’un report dans le temps. Un nouveau dispositif institutionnel a consolidé les relations politiques et économiques grâce à des pratiques qui ont permis la production d’un forme novatrice de socio‐nature et qui ont reprofilé en paysage industriel la partie Est du front de mer central de Toronto.

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)0.002
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.147
GPT teacher head0.401
Teacher spread0.255 · 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

Citations19
Published2008
Admission routes2
Has abstractyes

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