Liber amicorum James Hogg. Kartäuserforschung, 1970–2006. Internationale Tagung Kartause, Aggsbach 28.8. – 1.9.2006 Kartause Mauerbach. 6 vols. Edited by Meta Niederkorn-Bruck. (Analecta Cartusiana, 210.) Pp. vi+328 incl. 34 black-and-white and colour plates; vi+219 incl. 71 black-and-white and colour plates; xii+224 incl. frontispiece and 49 black-and-white and colour plates; iv+208 incl 2 frontispieces and 83 black-and-white and colour plates; ii+190 incl. errata slip and 70 black-and-white and colour plates; 216 incl. 51 black-and-white and colour plates. Salzburg: Universität Salzburg: Institut für Anglistik und Amerikanistik, 2007, 2008. 978 3 900033 82 8; 978 3 900033 67 5; 978 3 902649 07 2; 978 0 902649 21 8; 978 0 902649 28 7; 978 3 902649 22 5
Bibliographic record
Abstract
Liber amicorum James Hogg. Kartäuserforschung, 1970–2006. Internationale Tagung Kartause, Aggsbach 28.8. – 1.9.2006 Kartause Mauerbach. 6 vols. Edited by Meta Niederkorn-Bruck. (Analecta Cartusiana, 210.) Pp. vi+328 incl. 34 black-and-white and colour plates; vi+219 incl. 71 black-and-white and colour plates; xii+224 incl. frontispiece and 49 black-and-white and colour plates; iv+208 incl 2 frontispieces and 83 black-and-white and colour plates; ii+190 incl. errata slip and 70 black-and-white and colour plates; 216 incl. 51 black-and-white and colour plates. Salzburg: Universität Salzburg: Institut für Anglistik und Amerikanistik, 2007, 2008. 978 3 900033 82 8; 978 3 900033 67 5; 978 3 902649 07 2; 978 0 902649 21 8; 978 0 902649 28 7; 978 3 902649 22 5 - Volume 62 Issue 3
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.389 | 0.290 |
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".