Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract MAKING ART GLOBAL (PART 2): ‘MAGICIENS DE LA TERRE’ 1989, LUCY STEEDS ET AL. London: Walther Koenig and Afterall Books (2013), 304 pp., Paperback, ISBN: 978-3-86335-258-5, $27.50 CHANNELING THE PAST: POLITICIZING HISTORY IN POSTWAR AMERICA, ERIK CHRISTIANSEN Madison: University of Wisconsin Press (2013), 318 pp., Paperback, ISBN: 978-0-29928-904-1, $29.95 EXHIBITING PATRIOTISM: CREATING AND CONTESTING INTERPRETATIONS OF AMERICAN HISTORIC SITES, TERESA BERGMAN Walnut Creek, CA: Left Coast Press (2013), 256 pp., Paperback, ISBN: 978-1-59874-597-9, $29.95 HOW WE FORGOT THE COLD WAR: A HISTORICAL JOURNEY ACROSS AMERICA, JON WIENER Berkeley: University of California Press (2012), 384 pp., Hardcover, ISBN: 978-0-52027-141-8, $34.95 INTERPRETING ART IN MUSEUMS AND GALLERIES, CHRISTOPHER WHITEHEAD London and New York: Routledge (2012), 196 pp., Paperback, ISBN 978-0-41541-922-2, $38.95 DEFINING THE MODERN MUSEUM: A CASE STUDY OF THE CHALLENGES OF EXCHANGE, LIANNE McTAVISH Toronto: University of Toronto Press (2013), 226 pp., Hardcover, ISBN: 978-1-44264-443-4, $50.00 COLLECTING AS MODERNIST PRACTICE, JEREMY BRADDOCK Baltimore: Johns Hopkins University Press (2012), 322 pp., Hardcover, ISBN: 978-1-42140-364-9, $39.95 HE NAMED HER AMBER, IRIS HÄUSSLER Toronto: Art Gallery of Ontario (2011), 176 pp., Hardcover, ISBN: 978-1-89424-368-1, $40.00
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it