Bibliographic record
Abstract
The International Conference on New Advances in Civil Engineering (ICNACE) is a conference series, organized with the aim of forming a venue for researchers and professionals to discuss the current issues, recent progresses and future directions on a wide range of cutting-edge topics in the areas of Construction Technology and Management, Geotechnical Engineering, Materials and Structural Engineering, and Water and Environmental Engineering. The first four conferences were held in Dubai/UAE (2015), Zagreb/Croatia (2016), Helsinki/Finland (2017), and in St. Petersburg/Russia (2018). The 5th one was held in Kyrenia, North Cyprus on 8-10 November 2019. The three keynote speakers contributed to ICNACE2019 were Prof. Dr. Feyza Çinicioğlu (Turkey) on “Soft soil mechanics through teachings of the behaviour beneath embankments”, Prof. Dr. Murat Saatçioğlu (Canada) on “Protection of built infrastructure against extreme loads: Bomb blasts and earthquakes” and Assoc. Prof. Dr. Rosario Montuori (Italy) on “Advances in the design of steel structure for seismic protection”. The invited speakers who have delivered presentations regarding field-implementation and case studies were Asst. Prof. Dr. Eriþ Uygar (N. Cyprus) and Paul A. Cowin (UK) on “Design and field experiences on the use of PVD for ground modification”, and Assoc. Prof. Dr. Bertuğ Akýntuğ (N. Cyprus) on “Analysis of floods and droughts in North Cyprus”. The proceedings of ICNACE2019 are comprised of 42 papers, which include fundamental and applied research, the relationship between research and practice, and the development of wellinstrumented case studies that define the quality of design procedures. Our intention was to put together a scientific programme to encourage open and constructive discussions. It is the hope of the organizers that this aim was fulfilled and the participants shared experiences and ideas on the conference themes and the related subjects during the two days of the conference. List of International Advisory Committee and Local Advisory & Scientific Committee are available in this PDF.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.586 | 0.416 |
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".