MétaCan
Menu
Back to cohort
Record W2572378363 · doi:10.1590/0370-44672016700089

Revisiting the risk concept in Geotechnics: qualitative and quantitative methods

2017· article· en· W2572378363 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

VenueREM - International Engineering Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsArcelorMittal (Canada)
Fundersnot available
KeywordsGeotechnicsComputer scienceGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

In this paper, the concept of risk is discussed with focus on its use in geotechnics. The authors focalize the operational definition of risk, giving special emphasis to the concept of risk scenarios. Concepts of hazard, vulnerability and susceptibility are focalized because they appear in the literature in place of the concept of risk. Examples are presented. It is concluded that quantitative methods to evaluate risks are associated with non-equations elucidating the cultural, phenomenal and environmental dimensions of the risk concept. Index approach qualitative methods are associated with a compression of risk concept expressed through equations that evaluate risk as a sole number. This apparent paradox in risk analyses -equations associated to qualitative methods -is responsible for most of problems in measuring and communicating risk.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.019
GPT teacher head0.370
Teacher spread0.351 · 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