Bibliographic record
Abstract
This thesis begins with a simple question: what is the status of a theory of construction? Is such a theory itself constructed? What does this tell us about the post-structuralist or deconstructive reappropriation of research and theory? To address these questions, this thesis makes two moves. The first consists in identifying a general argumentative structure or logic of construction at work across several of Jacques Derrida's published works. The second move consists in thinking through how this logic reconfigures itself by affecting the status of theories or explanatory models. We will argue that a 'deconstructrive logic', if there is such a thing, cannot be final, fixed and atemporal. Departing from previous interpretations of Derrida's work, we will make the case that this is not simply a negative limitation: rather, it marks a commitment to a localized mode of philosophy, or thinking on the terms of a particular context.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.079 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".