How to Become a Memory: The Individual and Collective Aspects of Mnemicity
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
Human adults distinguish their mental event simulations along various dimensions-most prominently according to their "mnemicity": we track whether these simulations are outcomes of past personal experiences or not (i.e., whether we are "remembering" or "imagining"). This distinction between memory and imagination is commonly thought to reflect a deep architectural distinction in the mind. Against this idea, I argue that mnemicity is not based on a fundamentalstructural difference between memories and imaginations but is instead the result of metacognitive attribution and social construction. On this attributional view, mnemicity is likely a uniquely human capacity that both serves collective functions and has been shaped by collective norms. First, on the individual level, mnemicity attribution is an outcome of metacognitive learning: it relies on acquired interpretations of the phenomenal features of mental event simulations. Such interpretations are in part acquired through interactive reminiscing with other community members. Further, how the distinction between memory and imagination is drawn is likely sensitive to cultural norms about what remembering is, when it is appropriate to claim to remember, what can be remembered, and what remembering entails. As a result, how individuals determine whether they remember or imagine is bound to be deeply enculturated. Second, mnemicity attribution solves an important collective challenge: who to grant epistemic authority about the past. Solving this challenge is important because-for humans-the past represents not just an opportunity to learn about the future but to coordinate present social realities. How a community determines such social realities both draws on individuals' remembering and in turn shapes when, what, and how individuals remember.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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) | 0.000 | 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