Toward Crack-based Assessment of Shear-distressed Reinforced Concrete Infrastructure
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.
Bibliographic record
Abstract
<p>The prioritization of repair and rehabilitation efforts for concrete infrastructure is typically informed by damage observed during routine field inspections. Field observations are qualitatively categorized into condition states based on pre-established measurement limits that do little to account for the member-specific details that affect structural behaviour. As a result, conventional strategies do not typically provide reliable, quantitative predictions about the implications of observed damage. Several mechanics-based approaches for the assessment of shear-distressed reinforced concrete structures have been proposed within the last decade. This paper presents an overview and brief comparison of two assessment procedures. Ultimately, this research aims to develop recommendations for refined numerical procedures that assist infrastructure renewal experts to successfully manage the existing infrastructure inventory.</p>
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it