Five Years of SETI at the InCosmiCon Research Center
Bibliographic record
Abstract
In 2020 at the Italian University of Insubria we created an international research center called INCOSMICON (Intelligence in the Cosmic Context), which, among its research areas, includes also SETI, with a special focus on SETI & Society. In its first 5 years of activity (2 of which during the Covid pandemic), at present INCOSMICON has 58 members from 9 different countries. The INCOSMICON members have presented about 20 SETI papers written by more than 50 co-authors to the 2020-2024 editions of the IAC. Furthermore, on 18 and 19 December 2023, INCOSMICON organized in Paris a Workshop on Interstellar Messages Construction, hosted by the prestigious École Normale Superiéure, which should be the beginning of a systematical work about this topic. The second meeting of the series was held in Varese on 12-13 October 2024, just before the IAC Milano 2024. We are also creating a selected online library about the typical topics of SETI & Society, especially about Interstellar Messages. An interactive page on the INCOSMICON website should (hopefully) allow wider discussion with the other SETI scholars and any interested people. Also, INCOSMICON is about to publish a first series of articles about the languages of the Amazonian University UCSS-Nopoki of Atalaya (Peru), which could provide interesting insights about Interstellar Messages Construction. Finally, INCOSMICON is about to make its position at the University of Insubria stronger and to get more support and more funds from that University. So, future should be very exciting.
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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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.018 | 0.009 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.068 | 0.039 |
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".