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Record W7067922133

Neglected landscapes: a transformative future for Winnipeg's infrastructure corridors

2023· dissertation· en· W7067922133 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicUrban Planning and Landscape Design
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentTransformative learningRecreationLand useUrban planningPopulationPopulation growthInvestment (military)Brownfield
DOInot available

Abstract

fetched live from OpenAlex

This practicum explores how underutilized infrastructure and vacant industrial lands can address the need for reclaimed parks and ecological networks in Winnipeg, Manitoba. The change in social and cultural interpretations of neglected spaces within infrastructure corridors will be explored with applied research. The focus will be along the Manitoba Hydro Transmission corridors, CN Railway lines, and vacant uncultivated agricultural lands along major roadway verges. Unique opportunities for transformative change are also present at the Southwest Bus Rapid Transitway adjacent to major redevelopment sites in the Southwest of Winnipeg. Research methods intend to demonstrate how integrating redevelopment sites and principles of urban ecology with former industrial landscapes within infrastructure corridors can influence a city’s ability to realize the potential of these spaces. Neglected Landscapes can be used as a catalyst for landscape design to form a cohesive parkland strategy and ecological network at a regional scale, creating valuable recreational spaces, addressing the loss of biodiversity due to development, and meeting the need for future urban parks and sites for transformative urban design. Over the last 30 years, Winnipeg’s population and demand for park development have increased while investment and accessibility have been inconsistent across the city—these changing demographics pressure city amenities, services, and the need for park development and land acquisition. Acquiring new parkland in Winnipeg is limited due to the case-by-case basis of land acquisition through development in new communities and the process of reserve dedication for future development. Moreover, insufficient budgets to match the continued outward growth of new communities moving further away from mature neighbourhoods add higher maintenance and operating costs to the rising demand for parkland. By taking advantage of neglected lands under infrastructure corridors and applying new types of synergies between urban ecology and infrastructure, a potential exists to grow these spaces into a more extensive Winnipeg-wide ecological network. This approach can fill in missing links and inform an ecologically optimum land transformation that addresses the increasing demand for green spaces in new communities and mature areas suitable for redevelopment in the future.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.546
Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.008
Scholarly communication0.0130.005
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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
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
Published2023
Admission routes1
Has abstractyes

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