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Record W2131771374 · doi:10.3390/su5114908

History Made for Tomorrow: Hakka Tulou

2013· article· en· W2131771374 on OpenAlexaboutno aff
Richard Yelland

Bibliographic record

VenueSustainability · 2013
Typearticle
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsnot available
FundersWest Virginia UniversityNational Science Foundation
KeywordsRammed earthSustainabilityChinaEcological footprintEngineeringSustainable developmentCivil engineeringSociologyGeographyPolitical scienceArchaeologyEcologyLaw

Abstract

fetched live from OpenAlex

The documentary film, History Made for Tomorrow: Hakka Tulou was an October 2010 release by History Channel International. This film is an in-depth study on the green building techniques and sustainable lifestyle of the Hakka people of Southern China with a focus on the ancient Tulou rammed earth structures. The television program follows West Virginia University research professor, Ruifeng Liang, as he initiates scientific studies to back claims that the rammed earth Tulou structures are “the greenest buildings in the world”, and Canadian architect, Jorg Ostrowski, of Autonomous Sustainable Housing Inc., who has been researching the ecological footprint of Hakka communities since August 2007, to promote them as “eco-villages” of best practices for planet Earth’s sustainability. The author is credited as Director, Writer, and Producer of this film. This paper is based on the script of the production.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score1.000

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)0.0010.000

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 head0.204
Teacher spread0.194 · 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
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

Citations4
Published2013
Admission routes1
Has abstractyes

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