Bibliographic record
Abstract
The suggestions for further reading given below are divided according to the two parts of the book: theory and solutions. Books related to Part I on theory There exists an impressive assortment of books addressing the topics contained in the first part of this book. Here we list either those books that have become standard references in the field, or titles that focus on specific aspects of the theory and therefore provide a deeper presentation than the relatively few pages of this book will permit. Readers interested in the connection between continuum mechanics and more fundamental microscopic theories of material behavior are referred to the companion book to this one, written by two of the authors, called Modeling Materials: Continuum, Atomistic and Multiscale Techniques and also published by Cambridge University Press [TM11]. That book includes a concise summary of the continuum theory presented in this book (which serves as a good abbreviated reference to the subject), followed by a discussion of atomistics (quantum mechanics, atomistic models of materials and molecular statics), atomistic foundations of continuum concepts (statistical mechanics, microscopic expressions for continuum fields and molecular dynamics) and multiscale methods (atomistic constitutive relations and computational techniques for coupling continuum and atomistics). [TM11] is consistent in spirit and notation with this book and is likewise targeted at a broad readership including chemists, engineers, materials scientists and physicists. Although published in 1969, Malvern's book [Mal69] continues to be considered the classic text in the field. It is not the best organized of books, but it is thorough and correct. It will be found on most continuum mechanicians' book shelves. […]
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.734 | 0.581 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".