The effect of conference proceedings on the scholarly communication in Computer Science and Engineering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Conference papers have traditionally been a quick form of research communication, and an important source of information for scientists in addition to the standard journal papers. However, in the disciplines of Computer Science and Engineering, a vast majority of the peer-reviewed publications is communicated in the form of conference papers, and conference proceedings have become the primary channel of research communication in these disciplines. While this form of scholarly communication was effective for Computer Science as a young discipline, it introduces several limitations that make it non-optimal for a mature and established scientific field. These include the quality of the peer-reviewed work, selection of papers for publication, and also the efficacy of conferences as forums for expressing innovative and visionary ideas and providing opportunities for networking and meeting other researchers in the field. Here we review the differences between Computer Science and Engineering conference publications and the traditional journal publication used in other scientific disciplines, and discuss the effect of these differences on the scholarly communication in this field.
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.
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 | 0.207 | 0.145 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.042 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.019 | 0.004 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.003 |
| 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 it