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
This year (2024) was the 50th birthday of the World Computer Chess Championships (WCCCs).The series started as a three-year event in Stockholm in 1974.At the second event (Toronto, 1977), Barend Swets and Ben Mittman launched the ICCA (International Computer Chess Association).Ben started also the ICCA Newsletter.It became a success and in 1983 the Newsletter transferred into a scientific journal called the ICCA Journal with continuation of the numbering (Vol.6, No. 3).The former chess World Champion Michael Botvinnik (1983) was prepared to guide us with his ideas on the future of computer chess: "chess will help not only in personality shaping but, indirectly, in controlling processes in the human society."[thus announcing the power of AI] 3 The Future (Soon and Far Away) Such honors bring also expectations.What will follow next?The scientific answer is twofold.First, the next goal is solving chess.To reach that goal we presumably need new technological developments (based on pattern/feature recognition).Second, here we might think of the development and application of quantum computing applicable to solving chess.
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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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