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Record W1124055716

The Causeway, the Landfill, and the River: shaping Moncton's Environs

2005· dissertation· en· W1124055716 on OpenAlexaboutno aff
Michaela Macleod

Bibliographic record

VenueUWSpace (University of Waterloo) · 2005
Typedissertation
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsEngineeringEnvironmental scienceCivil engineeringGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The decommissioned Riverside Landfill, located on the Petitcodiac River in Moncton, New Brunswick, has been closed for over ten years. Lack of proper dumping and closure procedures has left the ground and the water surrounding the site contaminated. The waterfront, shaped by the processes of industry and hydrology remains a neglected space within the city. The river's edge was once the main focal point of activity and interest of the city, facilitating more than 250 meters of public wharves along its riverbank. The exploratory design is for a new park that will restore ecological integrity of the river and introduce the individual scale to the landscape, while revitalizing its spirit within the city. Initially in the study, the site is mapped in relation to the region, the province, the city, the urban fabric, and the landscape. Considering the river's hydrology and the landfill's toxicity, the project aims to weave the degraded site back into the natural and cultural patterns that exist in the larger scale of the region. Public spaces can no longer derive their form solely from economic or aesthetic doctrines. They must be developed with an understanding of natural process and used to regenerate the cityscape. The formal order shaping the park will be founded on the process of bioremediation. Additive and subtractive, cultural and biological processes are implemented over time to transform the terrain. Artificial and natural become inseparable, and develop a new relationship between urban systems, natural process, and public space. Ongoing monitoring and management of the site will allow evolving adaptations of the project and support complexity and change.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.167
Teacher spread0.161 · 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
Published2005
Admission routes1
Has abstractyes

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Same venueUWSpace (University of Waterloo)Same topicAmerican Environmental and Regional HistoryFrench-language works237,207