Bibliographic record
Abstract
You know you’ve made it, scholarly-wise speaking, when a major publishing house and a preeminent university approach you to ask whether they could publish a four-volume set of your collected works. Such is the situation of Douglas Laycock (DL), long-time Professor at the University of Texas School of Law, now moving from the University of Michigan to the University of Virginia and most certainly on just about everyone’s short list of greatest church–state scholars of the past quarter-century. Volume One of the collection was published in 2010; it is subtitled “Overviews & History” and contains roughly forty pieces written by DL between 1985 and 2009. Many of the pieces are academic works; some are newspaper articles or letters or various other types of nonscholarly writing. The volume, as observed by the subtitle, includes pieces that communicate DL’s general views on the Religion Clauses and analyze the historical context of those crucial provisions. There is also a short section on DL’s views about the Senate’s role in confirming judicial nominees. Forthcoming volumes will focus on free exercise rights, statutory protection for religion, and religious speech/disestablishment, in that order.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.149 | 0.101 |
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".