Prefactual Thoughts: Mental Simulations about What Might Happen
Bibliographic record
Abstract
Thought about the future can take many forms, from goal planning to intentions and from fantasies to magical thinking. The term prefactual has guided some past research, yet its potential impact has been hampered by inconsistency in its definition. Here we define prefactual thought as a conditional (if-then) proposition about an action-outcome linkage that may (or may not) take place in the future, such as “If I take action X, it will lead to outcome Y.” A prefactual embraces a causal belief that an action (if taken) will result in the outcome with a high degree of certainty. A form of mental simulation, prefactuals often derive from counterfactuals (which focus on the past) and feed into intentions (which center on the future). This article provides an overview of extant findings, draws connections to goal pursuit and affect regulation, and clarifies the value of the prefactual construct for conceptualizations of prospection.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".