Explaining Change: Theorizing and Testing Dynamic Mediated Longitudinal Relationships
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
Many disciplines of scholarship have developed theories that involve dynamic mediated (and multilevel) relationships among constructs. However, most research does not hypothesize or test these dynamic relationships in a manner consistent with theory. In this article, the authors address this disconnect by first noting the theoretical and methodological limitations of ignoring dynamic mediated (and multilevel) relationships. Specifically, the authors show that theory testing suffers and statistical conclusions are often erroneous when dynamic mediation is ignored. The authors then present several ways of conceptualizing dynamic mediated relationships and then turn to summarizing two statistical models for analyzing such data. They conclude with a brief example from a team performance context.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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