Bibliographic record
Abstract
Thomas Edward Lawrence was an Oxford-trained medieval scholar, guerrilla leader, rebel, ascetic and spy. Lawrence was an inveterate self-fashioner in addition to being compellingly mythologized by a coterie of literary friends and romanticized in Lowell Thomas’s (1892–1981) 1919 multi-media show ‘With Allenby in Palestine’. His mythical status was renewed with the popularity of David Lean’s (1908–1991) cinematic epic Lawrence of Arabia (1962). Lawrence’s involvement with Arab revolt against the Turks, his postwar support for the Arab movement and disillusionment with Britain’s exploitation of that movement, and his subsequent flight from rank and title provide the material for his agonistic autobiographical writing. After the war, he renounced his fame and position, assuming the names John Hume Ross and T. E. Shaw and becoming a dedicated serviceman, a ‘mechanical monk’ in the newly created Royal Air Force (Meyers 124). He was also a classic ‘Orientalist’ and ‘imperial agent’, according to Edward Said (240); a ‘mysterious farrago’ and a ‘fraud’, according to Richard Aldington (35); and remains ‘a prince of our disorder’, according to Irving Howe (qtd. in Mack xvi).
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.023 |
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".