Spontaniczność świadomości: Analiza neurofenomenologiczna
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
1 Jesteśmy wdzieczni Centrum Badan nad Świadomością (University of Arizona, Tucson) za przyznanie grantu wspierającego naszą prace. Nasz projekt uzyskal takze wsparcie ze strony Social Sciences and Humanities Research Council of Canada oraz McDonnell Project in Philosophy and the Neurosciences. Dziekujemy Stephenowi Biggsowi, Jamesowi Campbellowi, Bryanowi Hallowi, Ericowi Olsonowi, Danielowi Stoljarowi, Jessice Wilson oraz czlonkom Wydzialu Filozofii Uniwersytetu w Sheffield za pomocne komentarze dotyczące fragmentow poprzednich wersji tego artykulu. Specjalne podziekowania nalezą sie uczestnikom minikonferencji Beyond the Hard Problem: Consequences of Neurophenomenology (Boulder CO, Maj 2001), a zwlaszcza Davidowi Chalmersowi i Alvie Noe za intensywną dyskusje tego materialu i innych blisko z nim związanych zagadnien. Artykul dedykujemy Francisco Vareli, ktory zainspirowal wiele prezentowanych w nim idei.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.012 |
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