Bibliographic record
Abstract
According to some, humanity’s search to answer the question “What is the meaning of life?” fuels the creative fires that forge all of civilization’s great religious, spiritual, and philosophical texts. But how seriously should we take the question? In the following paper, I provide an implexic genealogical analysis of the cognitive structures that make the very articulation of the question possible. After outlining my procedure, my paper begins by explaining the main components of a genealogical inquiry. Next, I examine Camus’s and Nagel’s respective analyses of philosophical absurdity, paying particular attention to their different evaluations of avatars of the absurd, such as the myth of Sisyphus. Finally, I demonstrate how we may complete Nagel’s solution to the absurd (which counsels that whenever the seeming meaninglessness of life is raised in consciousness, we address it with an ironic smile) by providing an evolutionary pathway of how the cognitive scaffolding required to ask the question about life’s meaning arose. I argue that by reframing philosophical absurdity, we see the phenomenon in a different light. In this very reframing, we may become free from the malaise often connected to avatars for the absurd.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".