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Record W3166262055 · doi:10.22215/etd/2020-13928

Water Harvesting: Architecture towards an ecologically integrated community

2020· dissertation· en· W3166262055 on OpenAlexaff
Kevin Tomm

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsCarleton University
Fundersnot available
KeywordsStewardship (theology)ArchitectureAgricultureIrrigationWater scarcityWater resource managementGeographyEngineeringEnvironmental planningCivil engineeringEnvironmental sciencePoliticsPolitical scienceEcologyArchaeology

Abstract

fetched live from OpenAlex

This thesis presents a proposal for the integration of domestic dwellings with a locally-scaled, water harvesting infrastructure on an agricultural site on the Naramata Bench of the South Okanagan Valley of British Columbia. In this design scheme, rain and meltwater are harvested on site and directed to both agricultural irrigation and non-potable domestic use. The design proposal is a response to the possibility of future water scarcity in the Okanagan Valley and to the region's complex housing conditions. The design scheme is discussed with respect to the concept of the oikos in classical Greek philosophy and its implication for modern challenges of environmental stewardship.

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: Other
Teacher disagreement score0.021
Threshold uncertainty score0.042

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 studies0.0050.009
Scholarly communication0.0060.004
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.023
GPT teacher head0.246
Teacher spread0.223 · 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
Published2020
Admission routes1
Has abstractyes

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