Imm_Analyser: A Tool for Retrieving Data from Multimedia Documents
Bibliographic record
Abstract
iMM/spl I.bar/Analyser is a software tool allowing the analysis of multimedia documents to identify and retrieve their main building blocks, i.e., actions, triggering events, and media (images, sounds, movies). iMM/spl I.bar/Analyser is composed of 2 main components: iPDF/spl I.bar/Analyzer that is dedicated to the analysis of interactive multimedia documents of PDF type and HTML/spl I.bar/Analyser dedicated to documents of HTML type. iMM/spl I.bar/Analyser has been developed for helping the evaluation of student's works related to educational ICT, for statistics purpose and for extracting relevant data to be used by data mining tools to finding new and potentially useful knowledge from extracted data. For now, iMM/spl I.bar/Analyser can perform two kinds of analysis, detailed or synthetic. It can also edit PDF documents thanks to a find/replace function.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".