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Record W4384696648 · doi:10.22215/etd/2023-15538

From Communal Services to Social Resilience: Creating a New Life For The Smiths Falls Former Water Treatment Plant

2023· dissertation· en· W4384696648 on OpenAlexaboutno aff
Melissa Jean Brady

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyDowntownPopulationPopulation growthAdaptive reusePsychological resilienceEnvironmental planningArchaeologySociologyDemography

Abstract

fetched live from OpenAlex

The Town of Smiths Falls in Eastern Ontario has experienced both periods of economic growth and decline throughout its history. These economic trends are mirrored in the population’s growth and decline. Following the Covid-19 Pandemic, the populace of Smiths Falls has increased exponentially with communal resources struggling to keep up. Once a vital aspect of Smiths Falls’ service infrastructure, the Waterworks Buildings are located adjacent to the downtown. These provincially designated heritage buildings have been left abandoned since 2010 and have experienced substantial deterioration. The buildings are historically significant, as they represent Smiths Falls’ industrial past and evolution. This thesis explores using conservation practices to address the conditions of the site and its heritage values. Design will be used to explore approaches for adaptive reuse, with the goal of adapting the buildings as a new communal resource for the Town of Smiths Falls in the face of an ever-increasing population.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0170.009
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.108
GPT teacher head0.292
Teacher spread0.183 · 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 designNot applicable
Domainnot available
GenreOther

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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