Bibliographic record
Abstract
The cross-cultural program of research presented here is about matters of temporal persistence--personal persistence and cultural persistence--and about solution strategies for solving the paradox of "sameness-in-change." The crux of this paradox resides in the fact that, on threat of otherwise ceasing to be recognizable as a self, all of us must satisfy at least two constitutive conditions. The first of these is that selves are obliged to keep moving or die, and, so, must continually change. The second is that selves must also somehow remain the same, lest all notions of moral responsibility and any commitment to an as yet unrealized future become nonsensical. Although long understood as a problem demanding the attention of philosophers, we argue that this same paradox arises in the ordinary course of identity development and dictates the different developmental routes taken by culturally mainstream and Aboriginal youth in coming to the identity-preserving conclusion that they and others are somehow continuous through time. Findings from a set of five studies are presented. The first and second studies document the development and refinement of a method for parsing and coding what young people say on the topic of personal persistence or self-continuity. Both studies demonstrate that it is not only possible to seriously engage children as young as age 9 or 10 years in detailed and codable discussions about personal persistence, but that their reasoning concerning such matters typically proceeds in an orderly and increasingly sophisticated manner over the course of their early identity development. Our third study underscores the high personal costs of failing to sustain a workable sense of personal persistence by showing that failures to warrant self-continuity are strongly associated with increased suicide risk in adolescence. Study four documents this same relation between continuity and suicide, this time at the macrolevel of whole cultures, and shows that efforts by Aboriginal groups to preserve and promote their culture are associated with dramatic reductions in rates of youth suicide. In the final study we show that different default strategies for resolving the paradox of personal persistence and change--Narrative and Essentialist strategies--distinctly characterize Aboriginal and non-Aboriginal youth.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.574 | 0.340 |
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".