Does accepting the theory of evolution mean there is no meaning of life?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
What is the meaning of life? Believe it or not, after more than ten years on the air, we at Why? Radio have never asked this question. But to make it more complicated, we want to know not just what it is, but how we can discover it in the age of evolution. If science gives us answers instead of religion, where do we look for meaning? Can Darwin provide us with what the holy scriptures have not? On this episode we will ask these very questions, while exploring the limits of science and going head to head with the most ineffable aspects of the human experience. Michael Ruse is a philosopher and historian of science. He taught at the University of Guelph in Ontario Canada from 1965 to 2000. Since then. Ruse has served as Lucyle T. Werkmeister Professor of Philosophy at Florida State University. He has written or edited almost fifty books including, The Darwinian Revolution: Science Red in Tooth and Claw, Can a Darwinian Be a Christian?: The Relationship between Science and Religion, and Darwin and Design: Does Evolution Have a Purpose? His most recent book, the topic of today’s conversation, is A Meaning for Life.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it