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Record W4393221329 · doi:10.30958/ajss.11-2-1

An Integrated, Multi-Level Approach to Interpersonal Aggression and Family Violence

2024· article· en· W4393221329 on OpenAlexaff
Joseph H. Michalski

Bibliographic record

VenueAthens Journal of Social Sciences · 2024
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsThe King's University
Fundersnot available
KeywordsAggressionInterpersonal violencePsychologyDomestic violenceInterpersonal communicationSocial psychologyPoison controlHuman factors and ergonomicsMedical emergencyMedicine

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.110
GPT teacher head0.459
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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