Phenomenology as the Critical Disclosure of the Realities within Our Experience
Bibliographic record
Abstract
I use phenomenology to interpret the distinctive character of our human reality with a goal of determining how we can live in order to answer to our inherent needs. I distinguish three basic ways we can comport ourselves in living our lives: “security,” “preparation,” and “readiness.” I argue that readiness is the healthy fulillment of our needs as free beings. I argue that such readiness is a continuation of the natural enthusiasm for engaging with the world manifested by children, and I associate this with the Greek notion of erōs. I then consider the process of growth from childhood to adulthood to show how we develop and become habituated to practices of self-interpretation that undermine our healthy development, and I consider how this relates to the distinctive problems of capitalist culture, in particular. I conclude by considering again the phenomenological interpretation of our human reality in order to determine what the ultimate view of reality is that is implied by this position.
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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 | 0.021 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.110 |
| Scholarly communication | 0.016 | 0.026 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| 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".