“VITAL ARTICLES ON SCIENCE/CREATION” *Dr. Helder is a botanist and President of Creation Science Association of Alberta. Impact #351 EVOLUTION The Secret Behind the Propaganda
Bibliographic record
Abstract
“Everybody ” knows, one might suppose, that evolution is about facts and the creation model is about belief. Certainly this was the message of the PBS TV series entitled “Evolution. ” An internal memo sent to PBS stations stated concerning evolution, “All known scientific evidence supports evolution.... New discoveries over the past 150 years have all supported the validity of the theory of evolution. ” (PBS Internal Memo. 2001. The Evolution Controversy: Use it or Lose it. Evolution Project/WGBH Boston. June 15, p. 5). The memo further defined a scientific theory as a “higher level of understanding that ties ‘facts ’ together ” (p. 5). As to the creation model, the memo dismissed it as “not science. It is part of a religious belief system... ” (p. 6). Such statements and other similar ones over the years have convinced many that science in general and evolution in particular are based on observations from the natural world and thus they are empirically or factually based. The interesting thing is that this is not the modern understanding of science among scientists them-selves. They have long since abandoned much concern for actual data.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.173 | 0.039 |
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".