An Integrated, Multi-Level Approach to Interpersonal Aggression and Family Violence
Bibliographic record
Abstract
The study of interpersonal aggression has been carried out for the most part in separate spheres by experts from an array of academic disciplines. To advance a deeper understanding of these issues, however, requires a more conciliatory and interdisciplinary approach. The article offers just such an integrated approach, using a multi-level heuristic framework that has direct parallels with ecological modeling. In addition, the approach expands the analytic focus to reflect different aspects of complex human behavior, which include: 1) the behavioral investment framework, or the bio-psychological reality of the human animal; 2) the socialization framework, or the social psychological aspects of human learning and development; 3) the justification framework, or the language, knowledge, and meaning systems that one acquires to facilitate interpersonal communication and to justify one’s actions; 4) the social location framework, or the social interactional dynamics of interpersonal relationships that animate one’s daily life as a member of various groups and social networks; and 5) the societal context framework, or the broader institutional forms and sociocultural conditions within which individuals and groups are situated. The current approach bridges human neurophysiology and psychology with sociology in a developmental, ecological context that examines each dimension of human behavior. While the five dimensions can be separated analytically, in practice these overlap to exert multiple influences. Such a conciliatory framing permits a more comprehensive analysis of human social animals as situated within their natural environments. The paper outlines how each of the five levels contributes to expressions of interpersonal aggression by elaborating on key mechanisms that operate across the different levels of informational complexity. Several examples of empirical research are cited to illustrate the core principles that operate within and across the five complementary frameworks. Keywords: interpersonal aggression, violence, ecological model, integrated framework
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".