Using Contextual Action Theory for conceptualization and research on adolescent development
Bibliographic record
Abstract
Contextual Action Theory (CAT) is a conceptual, methodological, and practical framework that is consistent with these calls. In CAT, action is conceptualized as a complex, dynamic, and multidimensional system that can be comprehended from multiple levels of organization and from multiple perspectives. To illustrate how CAT has been used to conceptualize the design of research and the Action-Project Method (A-PM) to reflect that design, this chapter presents an integration of findings from several recent studies on the transition to adulthood that used the theory and the method. In CAT, change appears as the product of the interactions or transactions between individuals and the social contexts they are embedded in, that is, of their actions and of how these actions unfold over time. Feeling angry with or being understood by a parent, as well as doubting or trusting the parent&s;s ability to help, are examples of internal processes an adolescent may experience in response to the parent&s;s action.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".