Correlations between the strange quark condensate, strange quark mass, and kaon PCAC relation
Bibliographic record
Abstract
Correlations between the strange quark mass, strange quark condensate $⟨\overline{s}s⟩$, and the kaon partially conserved axial current (PCAC) relation are developed. The key dimensionless and renormalization-group invariant quantities in these correlations are the ratio of the strange to nonstrange quark mass ${r}_{m}={m}_{s}/{m}_{q}$, the condensate ratio ${r}_{c}=⟨\overline{s}s⟩/⟨\overline{q}q⟩$, and the kaon PCAC deviation parameter ${r}_{p}=\phantom{\rule{0ex}{0ex}}\ensuremath{-}{m}_{s}⟨\overline{s}s+\overline{q}q⟩/2{f}_{K}^{2}{m}_{K}^{2}$. The correlations define a self-consistent trajectory in the ${{r}_{m},{r}_{c},{r}_{p}}$ parameter space constraining strange quark parameters that can be used to assess the compatibility of different predictions of these parameters. Combining the constraint with Particle Data Group (PDG) values of ${r}_{m}$ results in ${{r}_{c},{r}_{p}}$ constraint trajectories that are used to assess the self-consistency of various theoretical determinations of ${{r}_{c},{r}_{p}}$. The most precise determinations of ${r}_{c}$ and ${r}_{p}$ are shown to be mutually consistent with the constraint trajectories and provide improved bounds on ${r}_{p}$. In general, the constraint trajectories combined with ${r}_{c}$ determinations tend to provide more accurate bounds on ${r}_{p}$ than direct determinations. The ${{r}_{c},{r}_{p}}$ correlations provide a natural identification of a self-consistent set of strange quark mass and strange quark condensate parameters.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".