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Record W4378605367 · doi:10.1353/cye.2010.0010

The Nature of Cities

2010· article· en· W4378605367 on OpenAlexaboutno aff
Louise Chawla

Bibliographic record

VenueChildren Youth and Environments · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaContext (archaeology)BuckinghamPlannerGeographySociologyWildlifeMedia studiesArchaeologyEcology

Abstract

fetched live from OpenAlex

246 Children, Youth and Environments Vol. 20 No. 2 (Fall 2010) ISSN: 1546-2250 The Nature of Cities Louise Chawla University of Colorado Citation: Chawla, Louise. (2010). "The Nature of Cities." Children, Youth and Environments 20 (2). The Nature of Cities A film production of Throughline Productions, Boulder, Colorado Co-produced by Electric Lodge, Marjory Goldman and Daryl and Andy Buckingham Directed by Chuck Davis and Tim Beatley, 2009 Available through www.throughlineproductions.com This 40-minute documentary features initiatives in Europe, Canada and the United States that are reintegrating plants, gardens, water and wildlife into urban areas and preserving urban wildlands. Filmmaker and doctor Chuck Davis follows urban planner Tim Beatley as they visit projects that represent a range of scales, from green walls and rooftop gardens to greenways for metropolitan commuting, restored waterfronts and urban forests. They talk with the professionals who have guided these initiatives and local residents who use these places, care for them, and teach others about them. Within this context, the importance of connecting children with nature is one of the film’s main themes, communicated through interviews with Richard Louv and Stephen Kellert and examples of children engaged in community projects to understand and protect the urban nature around them. ...

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.148

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.152
Teacher spread0.149 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2010
Admission routes1
Has abstractyes

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