Wood, Jennifer Linhart, ed. Dynamic Matter: Transforming Renaissance Objects
Bibliographic record
Abstract
Dynamic Matter: Transforming Renaissance Objects is an edited volume that probes the "life histories" of Renaissance objects featured in early modern correspondences, poems, and texts, ranging from Edmund Spencer's The Faerie Queen (1590) to William Shakespeare's The Tempest (c.1611).In response to Douglas Bruster's call to "begin taking sixteenth-and seventeenth-century materialist thought seriously, " the volume's editor, Jennifer Linhart Wood, aims to interrogate theories and methodologies of research focusing on the materialities of early modern objects (2).According to Wood, Dynamic Matter foregrounds early modern ideas on matter in its study of objects approached as isolated things to which we have limited access and relational actors that directly affect their environments, simultaneously revealing themselves and disrupting the subject-object binary and hierarchy.Wood positions the volume's theoretical framework amid Bruno Latour's actor-network-theory (ANT) and Graham Harman's OOO (Object Oriented Ontology).In Wood's words: "We hold the distinction between ANT and OOO in tension, thinking carefully not only about the matter-and objects-we study but also about their relations and effects, especially transformative ones" (6).With this theoretical background in mind, Wood makes a case for a multisensory (sensory-perceptual) experiential approach to the study of early modern objects and texts.The methodology thus incorporates intersemiotic literary, musical, archival, and historical material studies ( 22).The volume comprises an introduction, three parts with three chapters each, a selected bibliography, and an index.The chapters that form the first part, "Objects Within / Without the Body, " centre objects that closely interacted, shaped, and were shaped by skin, hair, and the body.Chapter 1, Josie Schoel's "Farre Fetched and Deare Bought, " highlights the suppression of the influence and expenditure of foreign knowledges and resources in constructions of Englishness through the epistolary correspondence of Queen Elizabeth I and Melike Safiye Sultan, principal consort of Murad III and mother of Mehmed III.Erika Mary Boeckeler's "Comb Poems, " the volume's second chapter, looks at comb posies and texts written in books in various shapes, including those
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".