Bibliographic record
Abstract
nor x[i−|u|..i−1] equals u. We say the repetition has period |u| and exponent e; it can be specified by the integer triple (i, |u|, e). It is well known [2] that the maximum number of repetitions in a string x = x[1..n] is Θ(n log n), and that the number of repetitions in x can be computed in Θ(n log n) time [2, 1, 10]. A string u is a run iff it is periodic of (minimum) period p ≤ |u|/2. Thus x = abaabaabaabaab = (aba)4ab is a run of period |aba| = 3. A substring u = x[i..j] of x is a run or maximal periodicity in x iff it is a run of period p and neither x[i−1..j] nor x[i..j+1] is a run of period p. The run u has exponent e = b|u|/pc and possibly empty tail t = x[i+ep..j] (proper prefix of x[i..i+p−1]). Thus
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".