Bibliographic record
Abstract
Since the undertaking of urban planning as a prescriptive discipline, landscape projects have demonstrated their ability to integrate valuable cultural spaces with the construction of complex infrastructural systems, including systems that manage urban waste outflows. By the twenty-first century, urban planners have been tasked with the reclamation of derelict post-industrial sites and their abandoned infrastructural networks. The reclamation of these sites typically deploys complex operations in order to salvage and recycle valuable materials. These operations are also tasked with the disposal, stabilization or treatment of hazardous waste, contaminated soils and waterborne pollutants. Urban practitioners and theorists increasingly recognize the suitability of landscape as an interdisciplinary medium to expedite the reurbanization of these sites, assembling expertise from multiple engineering disciplines, horticultural and zoological science, and architectural design. \nThe thesis proposition is a masterplan for the post-industrial Lachine Canal in Montréal, Québec. The masterplan integrates government plans to rehabilitate aging highway infrastructure through the adjacent, now defunct Turcot Rail Yard. Using the analytical mappings defined by Alan Berger in Drosscsape and Pierre Belanger’s “infrastructural landscapes” as a point of departure, the masterplan outlines a strategy to coordinate emergent waste diversion industries along the canal. Proposed interventions include a hybridized infrastructural landscape upon the abandoned rail yard to manage municipal organic waste, the effluents of brownfield reclamation, and construction debris. The application of phytoremediation landfarming and constructed wetlands comprise new landscapes that facilitate decontamination of existing brownfields along the Canal, promoting their reintegration with the surrounding urban environment. The thesis illustrates a speculative evolution of the site as an adaptively managed landscape, valued for its diverse biological wildlife habitat and for its recreational use by the citizens of Montréal.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.166 | 0.024 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".