Abstracts of the 17th European Conference on Eye Movements 2013
Bibliographic record
Abstract
This document contains all abstracts of the 17th European Conference on Eye Movements, August 11-16 2013 in Lund, Sweden ECEM 2013 has been the 17th European Conference on Eye Movements, with the original aims ‘to exchange information on current research, equipment and software’ remaining at the forefront. ECEM is transdisciplinary, promoting new approaches, co-operation between research fields and communication between researchers. It has grown from it’s origins as a small, specialist conference to a large international event, covering all aspects of basic and applied research using eye movements ( see information from previous conferences in the archive). Today, ECEM is the largest conference on eye movements in the world, based on number of submissions. In keeping with the tradition of supporting young researchers and promoting new research. In the days prior to the conference, ECEM 2013 has included methods courses for all interested delegates on several aspects of eye movements research and applications, led by top international experts (see method workshops). Panel discussions during the conference have provided a forum for communication between researchers, manufacturers and interface designers on new and emerging themes in eye movements research and technology.(see program). The exhibition included top eye tracker manufacturers (see exhibition). ECEM 2013 bought together neurophysiologists, psychologists, neuropsychologists, clinicians, linguists, computational and applied scientists, engineers and manufacturers interested in the movements of the eyes, with an emphasis on learning from each other and promoting development of the field. This ECEM was hosted by the Eye Tracking Group at Lund University, Sweden, and organised by the Eye Movement Researcher's Association (EMRA) and the COGAIN (communication through gaze interaction) association, to promote interdisciplinary, basic and applied research excellence.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.337 | 0.219 |
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".