Bibliographic record
Abstract
This project, originally a doctoral dissertation, was initiated at a moment when Dr Schwarz was still alive, and his personal records -to the extent they survived the hazards of time -had not yet been given to any library or archival institution.A few pieces of primary source material relevant to this study were being kept by either the Schwarz family in Australia (who still kindly provided some useful information) or other relatives who could be reached.The Christian Anti-Communism Crusade still legally exists as these lines are being written: it has been, since Dr Schwarz's retirement in 1998, de facto integrated into the works of a Colorado-based fundamentalist ministry.However, in order to prevent any confusion concerning this project's independence, I made a deliberate choice not to rely on its archives or to seek the current Crusade's collaboration or assistance.This is not an "authorized" book.Such circumstances inevitably raised the difficulty posed by this project.It would never have seen the light of day without the help of all those who assisted me in scores of libraries and archival centres across North America, of all those whose advice was key in structuring this work, and of the many who welcomed me along my research trip and gave me any type of support, be it logistical, informational, or moral.I would like to thank in alphabetical order
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.299 | 0.156 |
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".