MétaCan
Menu
← Back to cohort
Record W7099172394

DAVID F. MATTHEWS ENVIRONMENTALLY RESPONSIBLE BUILDING-BLT 140 COHOUSING AND THE ENVIRONMENT

2003· article· en· W7099172394 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPedestrianBuilt environmentCommunity buildingMovement (music)Local community
DOInot available

Abstract

fetched live from OpenAlex

The typical American approach to buying, or (for the fortunate ones) building a house is to choose from the existing market or available land. The purchase is made and one moves into the location and tries to fit into the existing community and environment. The majority of new communities are established by developers and engineers, usually only interested in making the most money, and how to move the vehicles around, respectively. Little consideration is given to the environment (through haphazard building and street orientation), the pedestrian (forced to use the automobile) or community (usually consisting of strip malls and segregated zoning). This is the unfortunate picture across America, except for pre-automotive traditional towns and a growing movement of intentional communities called Cohousing. Cohousing started in Denmark in the early 1970’s and has spread to northern Europe, Canada and the United States. It came about in response to housing options that no longer addressed people’s needs. Cohousing is a mix of traditional village concepts adapted to the contemporary lifestyle. Each individual or family has a self-sufficient residence, but also shares common facilities

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0650.014

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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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 designTheoretical or conceptual
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
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicGeochemistry and Geologic Mapping→French-language works237,207→