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Record W2022931368 · doi:10.1260/1369-4332.14.5.931

Technical Feasibility of Baling Vetiver Grass for Use as Load-Bearing Walls

2011· article· en· W2022931368 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Structural Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsEricsson (Canada)
Fundersnot available
KeywordsDeflection (physics)CrackingStructural engineeringDesign loadLoad bearingBearing capacityEngineeringTractorGeotechnical engineeringMaterials scienceComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents the technical feasibility of baling vetiver grass to be used in load-bearing plastered bale walls. The vetiver grass species used for this research at the time was called Vetiveria zizanioides Nash. A baling technique for vetiver grass was developed using a conventional square baling machine and a standard tractor. The moisture content and density of the vetiver bales were determined and compared to various codes. Two plastered vetiver bale walls, 1.8 m high × 3.2 m long × 0.5 m thick, were constructed and uniformly loaded in compression along the top surface of the wall until the walls reached the ultimate failure load. The loading, deflection, and cracking behaviour of the walls were recorded and analyzed. The ultimate failure loads for the plastered vetiver bale walls were compared to plastered non-vetiver bale walls from literature and the allowable design load from code.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.726

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 communication0.0000.001
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 head0.026
GPT teacher head0.273
Teacher spread0.248 · 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