Daydreaming as spontaneous immersive imagination: A phenomenological analysis
Bibliographic record
Abstract
Research on the specific features of daydreaming compared with mind-wandering and night dreaming is a neglected topic in the philosophy of mind and the cognitive neuroscience of spontaneous thought. The extant research either conflates daydreaming with mind-wandering (whether understood as task-unrelated thought, unguided attention, or disunified thought), characterizes daydreaming as opposed to mind-wandering (Dorsch, 2015), or takes daydreaming to encompass any and all “imagined events” (Newby-Clark & Thavendran, 2018). These dueling definitions obstruct future research on spontaneous thought, and are insufficiently precise to guide empirical studies. They also fail to illuminate the phenomenal core of daydreaming, namely, its dreamlike qualities. Although daydreaming is related to both mind-wandering and narrative imagination, it is not reducible to either. We argue that daydreams are experiences of spontaneous, immersive imagination in the waking state. The main task of our investigation is to distinguish daydreaming, conceptually and phenomenologically, from mind-wandering, on the one hand, and night dreaming, on the other. Although daydream experiences can vary widely, we distinguish prototypical experiences of daydreaming from adjacent imaginative activity, including fleeting imagery and “focused daydreaming,” or crafted visualization. We consider our phenomenological analysis as preparatory work for conceptually distinguishing different spontaneous and imaginative states so that they can be investigated accordingly with questionnaires and qualitative methods. We argue that precision about the phenomenal character of daydreaming can guide neurophenomenological investigations, help delimit studies on individual variance in daydreaming features, and identify differences among daydreaming, mind-wandering, and night dreaming conceptually and phenomenologically, and possibly eventually in terms of neural correlates.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".