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Record W2209420705

Towards a Management Plan for the Waterloo Moraine: A Comprehensive Assessment of its Current State within the Region of Waterloo

2009· dissertation· en· W2209420705 on OpenAlexaboutno aff
Lindsay Nicole Poulin

Bibliographic record

VenueUWSpace (University of Waterloo) · 2009
Typedissertation
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCurrent (fluid)Plan (archaeology)State (computer science)GeographyMoraineCartographyOperations researchComputer scienceEngineeringArchaeologyPhysical geographyElectrical engineeringAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

The Region of Waterloo (ROW) and Oxford County contain a significant landscape unit called the Waterloo Moraine that provides multiple ecological and water resource functions to surrounding communities. These functions include; providing a clean and abundant source of water, natural landscapes for plant and animal habitats, natural areas for recreational enjoyment, prime agricultural lands on which to grow food and aggregate resources in close proximity to large markets. This landscape unit is similar to the Oak Ridges Moraine (ORM) located in the Greater Toronto Area (GTA). 
\n The purpose of this research is to conduct an examination of the current state of management for the Waterloo Moraine within the ROW and Oxford County. Attributes of the Waterloo Moraine examined include; water resources, agricultural resources, mineral aggregate resources, Environmentally Sensitive Landscapes (ESLs), natural core areas, natural linkage areas and settlement areas. While the hydrologic functions have been most studied within this landscape unit, the Moraine has predominantly been studied from a focused perspective rather than a comprehensive one. Using expert knowledge and available secondary sources the following research questions are investigated: (1) What do we currently know about the Waterloo Moraine and how is this knowledge (or lack thereof) applied to its future existence and sustainability? (2) Who are the stakeholders when it comes to growth and management of the Waterloo Moraine? (3) Which places need to be protected from development most throughout the Waterloo Moraine? (4) Where does the Waterloo Moraine fit into management policies and plans existing in the Region of Waterloo and within the Province of Ontario? 
\n Key results of this research include; (1) The boundary of the Waterloo Moraine remains undefined; however, rough estimates of the overall size and various portions within each county, township and city it encompasses have been projected. To date, the largest portion of the Moraine lies in Wilmot Township (36.9%) and the smallest portion lies in North Dumfries (3%). (2) Many stakeholders are involved in the protection and management of the Waterloo Moraine. Regional and provincial officials ultimately control where development and growth occur and which areas in the ROW should be protected most. Those responsible for the initial ‘push’ for Moraine protection are grassroots groups and individuals coupled with the local media. (3) Criteria designating development ‘hot spots’ across the Waterloo Moraine has been established and six ‘hot spots’ within the Waterloo Moraine are designated.
\n Limited recognition has been given to the Waterloo Moraine complex in regional policies. It is therefore suggested that the creation of a Waterloo Moraine Act be considered in order to protect and manage this landscape unit. The Act would promote protection measures for the Moraine’s valuable attributes at the highest provincial level and eventually lead to a conservation plan.
\n It is recommended that the ROW further refine the Waterloo Moraine’s boundaries, develop a database to monitor changes in various features and functions across the Waterloo Moraine’s landscape and promote the implementation of a Waterloo Moraine Act.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.228
Teacher spread0.215 · 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.

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

Citations2
Published2009
Admission routes1
Has abstractyes

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