Bibliographic record
Abstract
In our special topic Culture, Self and Autonomy we have examined the complex issues relating to how self and autonomy are explored, construed, and experienced by different subjects and across cultural contexts.The notion of the self stands at the center of the discussion on psychological autonomy, defined as a system of processes, including self-determination, self-regulation, and selfdirection (e.g., Beck, 1997;Beck and Beck-Gernsheim, 2002;Ryan and Deci, 2017).Culture plays a key role in determining the basis of potentiality for autonomy, as it sets boundaries for the appropriate level of autonomy for individuals within a society (Chirkov, 2017).One of the primary dimensions of this topic was the development of the autonomous self in children and cultural differences in this developmental dynamic.Another important dimension has been the conditions for autonomy functioning in adolescents and young adults.The third dimension reflected in the submitted articles was an analysis of the macro-contexts and broad existential concerns as the background for autonomous functioning.The submissions to our special topic have been clustered along these three primary dimensions of our inquiry.
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 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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.051 | 0.032 |
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".