A Closer Look at Transitions between the Generative and Evaluative Phases of Creative Thought
Bibliographic record
Abstract
Creative thinking is often viewed as a dynamic process that involves shifts between two distinct modes (or phases) of thought—a generative and an evaluative mode. The generative mode involves the generation of new ideas, whereas the evaluative mode involves cognitive and affective evaluations of these ideas. Although the neurocognitive underpinnings of these two thought modes have received significant attention, the dynamics of transitions between them remain largely unexplored. Here, we focus on these dynamics and review current evidence from psychology and cognitive neuroscience about the relationships and transitions between the two purported modes of thought. We suggest that two types of evaluative processing—automatic-affective and deliberate (i.e., based in cognitive control)—play pivotal roles in supporting transitions between the generative and evaluative modes. Ultimately, we contend that future research into creative thought should focus on clarifying the timescales at which the two modes of thought may unfold, how the transition rate between them may relate to creative outcomes, and the nature of automatic-affective evaluations made toward thoughts.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".