Bibliographic record
Abstract
Review(s) of: El sueno imposible de Antoni Pujador (1948-1993), by Amoros I Gonell, Francesc: Prologue by Josep A. Pujante. Barcelona: Sirpus, 2006. 278 pp., drawings, maps, photographs. n.p. Review(s) of: Island at the End of the World. The Turbulent History of Easter Island, by Fischer, Steven Roger, London: Reaktion Books. 2005. 304 pp. US$24.95, UK 14.95. Review(s) of: Inventing 'Easter Island', by Haun, Beverley, Toronto: University of Toronto Press. 2008. xxii + 332 pp. CA$45 (cloth); CA$35 (paper). Review(s) of: Rapa Nui: Eine Liebe auf der Osterinsel, by Pauly, Stephanie, Munich: Droemer/Knaur. 2004. 344 pp. 9.90. Review(s) of: Les evades de l'ile de Paques. Loin du Chili, vers Tahiti, by Peteuil, Marie-Francoise, (1944-1958). Paris: L'Harmattan. 2004. 270 pp. 23 (paper). Review(s) of: 1000 anos en Rapa Nui. Arqueologia del asentamiento, by Vargas, Patricia, Claudio Cristino and Roberto Izaurieta, Santiago de Chile: Editorial Universitaria, Instituto de Estudios Isla de Pascua. 2006. 426 pp., drawings, maps, photographs. US$39 (paper). Review(s) of: Dario, Life and Solitude in Easter Island, by Verdugo-Binimelis, Bloomington and Central Milton Keynes: Author-House. 2007. 119 pp., maps, photographs. UK 7.90 (paper), UK 12.30 (cloth). Includes references.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.142 | 0.099 |
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".