"Continuous Response Evaluation of Digital Clips Over the Internet"
Bibliographic record
Abstract
I have great privilege to attend and co-present our research paper entitled “Continuous Response Evaluation of Digital Clips over the Internet” with Dr. Griff Richards at the EDULEARN09 Conference, Barcelona, Spain between July 6 and July 8, 2009. The Edulearn09 Conference has counted with 340 oral presentations and 80 posters. We have presented our paper on July 7, 2009. \n \nThe paper is well received by the audiences. They are interested in our innovative continuous response system. They would like to know if AU can make the system and technologies available for their project use. Overall, The audiences have provided favorable response to our presentation and are impressed with our E-learning project. We see this conference as a good opportunity for us to raise AU research profile and showcase our excellence in E-learning research and scholarship. This multidisciplinary and multicultural experience also allows us to share ideas and learn from each other with people coming from more than 65 countries. The paper has been published in the conference proceedings.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".