Report on the Collapse of de la Concorde Overpass in Canada
Bibliographic record
Abstract
デラコンコルド跨道橋の崩落事故に関する調査委員会の報告書の概要を述べた。このコンクリート橋は, カナダのモントリオール市郊外に1971年に建設され, 2006年9月30日に崩落した。橋長は60.8m, 総幅員は27.4mで, 20本のPCホロー桁 (27.4m) が, 橋台片持部材の端の桁受部 (伸縮装置の直下) で支持されていた。崩落の主要因として, 設計時の不適切な配筋, 施工時の不適切な配筋変更, 橋台への低品質コンクリートの使用を挙げ, 助長要因として, 厚いスラブに対するせん断補強筋の不足, 床版表面への防水処理の不足, 不適切な補修による損傷を挙げている。事故の再発を防止するための広範囲の勧告が述べられている。
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".