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Record W2183584266

The Making of the Meadowlands: How Ancaster's Fields Became Hamilton's Suburbs

2015· dissertation· en· W2183584266 on OpenAlexaboutno aff
Jeremy Parsons

Bibliographic record

VenueMacSphere (McMaster University) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsArt historyArt
DOInot available

Abstract

fetched live from OpenAlex

In an age of increasing urbanization, rural communities and agricultural lifestyles are quickly disappearing. Many local, pastoral histories have been buried under the new narratives of modern suburban development. Do such places, located along the rural-urban fringe, contain accounts worth memorializing? This thesis is a case study of the Ancaster Meadowlands—a growing neighbourhood within the City of Hamilton, Ontario. It explores the process of suburban growth and uncovers the local history of a landscape. As a narrative, the study traces land-use change over time, displaying the area’s evolution from a site of Neolithic settlement, to an important Loyalist village, and finally to a large suburban neighbourhood with commercial and residential components. Three principal methods are employed: resident interviewing, key informant interviewing, and archival research. Themes elicited in this study include land-use conflict, NIMBYism, real-estate volatility, and the interconnectedness of politicians and developers. Given that there are few case studies of contemporary suburban development, this study provides a rare illustration of the multi-faceted process of expansion around a Canadian city while also supplying a historical account of local importance.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.780
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.010
GPT teacher head0.186
Teacher spread0.175 · 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 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
Published2015
Admission routes1
Has abstractyes

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