AT ECOLE DE TECHNOLOGIE SUPERIEUREACKNOWLEDGEMENTS
Bibliographic record
Abstract
I would like to thank, Dr. Mohamed A. Meguid, for welcoming me among his team at McGill University. His guidance, availability and patience allowed me to learn a lot under his close supervision. I would like to thank, Dr. Gabriel Assaf, for his understanding and support in a master oriented research. I also express my thanks to Mr. John Bartczak, Marek Przykorski and Damon Kiperchuk for their precious help during the experimental program. I owe deep appreciation to my cousin, Mr. Abdel-Jelil Khelalfa, for his support and kindness. This thesis is dedicated to my parents. PERFORMANCE O F SURFACE STRUCTURE S SUBJECTE D T O SUBSURFAC E SOIL EROSIO N MENAA MEROUANE Several geotechnical engineering structures (e.g. pavements, slabs-on-grade, footings) transfer pressure to the ground through a contact area with the supporting soil. Design of these structures usually assumes that full contact is established throughout the service life of
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.290 | 0.119 |
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".