Conference Program -- Association for the Study of Law, Culture, & the Humanities 14th Annual Conference
Bibliographic record
Abstract
The UNLV William S. Boyd School of Law hosted the Association for the Study of Law, Culture & the Humanities 14th Annual Conference from March 11-12, 2011. The Association brings together more than 275 interdisciplinary scholars from around the world each year to discuss law and legal issues from a broad perspective. Scholars attended the meeting at UNLV from Australia, Canada, England, Ireland, Italy, New Zealand and Sweden. The theme of the conference, drawing on the work of Nan Seuffert of the University of Waikato, was "Boundaries and Enemies." The Association for the Study of Law, Culture and the Humanities is an organization of scholars engaged in interdisciplinary, humanistic legal scholarship. The Association brings together a wide range of people engaged in scholarship on legal history, legal theory, jurisprudence, law and cultural studies, law and literature, law and the performing arts, and legal hermeneutics. It seeks to encourage dialogue across and among these fields about issues of interpretation, identity, ideals, values, authority, obligation, justice, and about law's place in culture.To view photos of this event, click here. (Adobe Flash required.)
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.346 | 0.149 |
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".