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
Flow is an experience encountered in many areas of human endeavor; it is reported by athletes and artists, writers and thinkers. Paradoxically, it appears to involve significant energy expenditure, and yet it is reported to feel almost effortless. It is a prototypical instance of spontaneous thought. The flow experience has been extensively documented and studied by many scholars, most prominently Csikszentmihalyi, who characterized it as “optimal experience.” This chapter builds on the work of Csikszentmihalyi and others by providing a cognitive scientific account of flow, a framework that organizes and integrates the various cognitive processes and features that serve to make flow an optimal experience. In particular, it is argued that flow is characterized by a dynamic cascade of insight, coupled with enhanced implicit learning. This model seeks to integrate the phenomenological accounts of flow with the existing body of cognitive research.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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