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
Abstract Boolean functions and the underlying Boolean algebra are an essential mathematical foundation of digital technology. Nearly all technological applications that involve representation, manipulation, communication, or storage of information are built on this foundation. Examples include computers; telecommunications networks; music, game, photography, and video devices; and control systems in a myriad of products such as automobiles, industrial equipment, and banking machines. Introduction History of Mathematical Development Definition of Boolean Algebra Language of Boolean Algebra Statements Axioms and Theorems Proofs Reduction Closed and Complete Additional Syntaxes and Omitted Parentheses Definition of Functions Cartesian Products and Boolean Cubes Functions of Truth Tables Canonical Representations ( SOP and POS ) Minimization Cycles of Canonical Representations Nested Logic Forms Logic Gates Switching Circuits Complements and Restrictions Data Structures for Boolean Functions Algorithms for Boolean Functions Classification of Boolean Functions Standard Boolean Functions Implementations of Boolean Functions Computer Aided Design State Machines
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it