Bibliographic record
Abstract
This article raises the critical issue as to why there has been assumed to be a boundary to legal knowledge. In response to such an issue I focus upon the works of Jacques Derrida who, amongst other things, was concerned with the boundary of the disciplines of Literature, Philosophy and Law. The article argues that the boundary delimits the law as if the inside of a boundary to territorial-like legal space in legal consciousness. Such a space is not possible without the boundary. Derrida’s most insightful essay in this regard is his study of Franz Kafka’s untitled parable in The Trial. The parable represents a man who waits for an invitation to enter the Law until he nears his end. Derrida responds to the parable in his essay, “Before the Law.” This article uses the parable and Derrida’s response to it as a starting-off point for a reconsideration of the boundary of legal knowledge. In this context, Derrida asks this question: “why is Kafka’s parable categorized as Literature or Law?” Such an issue depends upon the boundary of a discipline, according to Derrida. And that focus, in turn, asks whether the boundary pre-exists any text which is represented as “Literature” or “Law” or “Philosophy.” This article claims, however, that Derrida’s theory presupposes that law, as a discipline, encloses a territorial-like space in legal consciousness. Each discipline possesses such a space. So too does the state and the university. Inside this bounded space, officials of the Law are free to consciously deliberate, reflect, and render decisions about the context of the Law. Analytically and phenomenologically before the boundary is taken for granted in an academic discipline, however, there is an unbounded non-law. The aporia of Derrida’s theory of the boundary of the Law is that the official or expert knower of the official language inside the boundary cannot assume the imagined boundary of legal knowledge without implicitly claiming to know the exteriority to the boundary. And yet, officials and expert knowers cannot know such an exterior extra-legality because, by virtue of the boundary as encircling a territorial-like space, knowledge is considered legal only when it exists inside the boundary. “The Law” is the consequence of the imagination of the expert knowers of the language as well as of the non-expert who believes in the bounded territorial-like space.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.065 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".