Bibliographic record
Abstract
This chapter contains sections titled: General Introduction Rearrangements of Hydrazo Compounds The Benzidine Rearrangements The Acid-catalysed Benzidine Rearrangement Reaction Products Kinetic and Other Mechanistic Studies General vs. Specific Acid Catalysis Reaction Intermediates Requirements for an Acceptable Mechanism Theories of Mechanism The Polar-transition-state Theory The Π-complex Theory The Caged-radical Theory Lukashevich's Theory The C-protonated Intermediate Theory The Thermal Benzidine Rearrangement Products Mechanism The Photochemical Benzidine Rearrangement Heterocyclic Hydrazo Compounds Related Rearrangements Rearrangements of Azoxy Compounds The Wallach Rearrangement Introduction Reaction Products Products in Acids Other Than Sulphuric Isotopic Substitution Studies Para-hydroxy Product Ortho-hydroxy Product Oxygen Migration in the Reactant Reaction Intermediates Kinetic Studies Theories of Mechanism The N,N-oxide Intermediate Mechanism The Dicationic Intermediate Mechanism The Quinonoid Intermediate Mechanism Rearrangements Giving Ortho-hydroxy Products Other Aromatic Azoxy Rearrangements Aliphatic Azoxy Rearrangements Rearrangements of Azo Compounds Scope of Presentation Azo–Hydrazone Tautomerism of Aromatic Azo Compounds Tautomerism of Protonated Aromatic Azo Compounds Tautomerism of Aliphatic Azo Compounds Some Further Azo Rearrangements Acknowledgments References
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".