Bibliographic record
Abstract
Live pure, speak true, right wrong, follow the King – Else, wherefore born… Tennyson, Idylls of the King Writing Around the TableThe idea of Camelot was a lance stuck in the side of American culture – the eruption that followed spilled some of the best and the brightest blood in Southeast Asia and Africa. In the science fiction community, Gordon Dickson’s well-liked Childe Cycle1 published between 1960 and 1994, made a fictional Camelot that paralleled Kennedy’s New Frontier. In this paper, I argue that the series functions to make war bloodless and palatable, to mirror the rhetorical postures of John F. Kennedy’s New Frontier and its political aftermath. A line can be drawn from Kennedy’s rhetoric to the creation of the Peace Corps, the space race, and the deepening involvement in Vietnam. This paper understands Kennedy’s rhetoric to be a step in the direction of American foreign policy that began in Vietnam and extended to other global conflicts. However, Dickson’s writing reflects the early heroic part of the mission: the part we most typically associate with Kennedy’s New Frontier.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".