Bibliographic record
Abstract
Abstract Sartre maintains that “all consciousness is consciousness of something.” Idiosyncratically, he also understands this “intentionality principle” to entail that what consciousness is “of” is necessarily distinct from it (or “outside of” it, or “transcendent to” it). Nonetheless, he also maintains that all consciousness is necessarily conscious of—or rather, “(of)”— itself in a non‐intentional (in his terms: “non‐positional/non‐thetic”) manner. Given that this non‐positional/thetic self‐consciousness is not intentional, it is evidently immune to the “difference” principle, but this is less clear with respect to self‐ reflection (which Sartre simply calls “reflection”). It seems impossible for reflection to be “intentional” because intentionality entails difference—yet it also seems problematic to consider reflection “non‐intentional” because it then becomes difficult to distinguish reflection from non‐positional/thetic self‐consciousness as such (which is inherently “unreflective”). This can be called Sartre's “dilemma of reflection.” While Sartre seems to alternate between portraying reflection as intentional and as non‐intentional (it generally appears like the former), this paper argues that it should be conceived as both according to different respects. By piecing together various passages of Sartre's texts and drawing out their implications, Sartre can be shown to have the resources for an answer to his own dilemma.
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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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.009 | 0.018 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.015 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".