Autobiographical Remembering as Cultural Practice: Understanding the Interplay between Memory, Self and Culture
Bibliographic record
Abstract
Autobiographical remembering is examined as a cultural practice unfolding in the developmental dynamics of the interplay between memory, self and culture. In discussing the results of recent comparative studies in the United States and East Asia, we argue that autobiographical memory and self are interconnected meaning systems constructed in macro- and micro-cultural contexts—contexts of collectively performed and shared symbols, tools and artifacts. This process involves manylayered interactions between an individual and the belief structures of the society; it also involves various forms of active negotiation among the agents of socialization. As a result, a culture’s genres of autobiographical remembering and its prevailing conceptions of selfhood have a decisive impact on the very nature of mnemonic transmission from one generation to the next. Against this backdrop, autobiographical remembering is described as an important dimension of cultural memory.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".