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Systems Thinking Tools For Identification, Assessment, intervention, and Evaluation of Traumatic Brain injury (Tbi) From intimate Partner Violence (Ipv) : Canadian indigenous Women As a Paradigmatic Case

2017· other· en· W6964729309 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceIndigenousShamePoison controlContext (archaeology)Suicide preventionInjury preventionStigma (botany)

Abstract

fetched live from OpenAlex

The Centers for Disease Control and Prevention estimate that 38 million women (1:4) in the US have experienced IPV. Between 60-92% receive associated facial or head injuries. By even the most conservative estimates, the number of women receiving TBI from IPV is greater than the number of women with breast cancer. In spite of high prevalence and strong evidence of physical, cognitive, behavioral, and psychological impacts across role domains, TBI from IPV remains under-acknowledged and understudied, resulting in knowledge and service gaps that put millions of womenu2019s lives at risk. Populations occupying marginalized social locations bear disproportionate burden in incidence, severity, and negative outcomes of TBI from IPV.In Canada, Indigenous women recipients of TBI from IPV face numerous multi-level barriers to recovery owing to their unique position at the intersection of two disciplines that rarely overlap (TBI and violence work) and being part of a socially, economically, and historically marginalized population. They are at higher risk for TBI from IPV and have access to fewer supports across levels: culture of shame and stigma around TBI and IPV; lack of accessible healthcare and shelter resources; language barriers, and; a history of colonialism and exploitation by medical, legal, and governmental structures often resulting in current experiences of judgment, paternalism, and retraumatization when engaging with systems ostensibly designed to help them. TBI from IPV in the Indigenous context is an example of a u201cwicked problemu201d: one that involves multiple, interacting human and non-human agents evolving over time in constantly changing contexts and often in non-linear, complex patterns. Systems thinking is a broad term associated with theories, methods, and tools that have been developed and deployed in diverse disciplines to address wicked problems. Systems thinking entails investigating interrelationships, behaviors, and outcomes of complex systems at high and granular levels. In this way, these paradigms allow us to connect individual outcomes to broader structures, institutions, and sociocultural dynamics. Addressing the dynamic, interacting complexities of TBI from IPV at personal, community, and institutional levels requires approaches of commensurate complexity, engaging the wicked problem on multiple levels and across sectors. Systems thinking approaches offer innovative, effective tools and models for better understanding the complexities of TBI from IPV and helping professionals locate their opportunities and responsibilities, regardless of their level or role. Examples of systems thinking approaches will be discussed across points of engagementu2014policymaking, research, health systems, community organizations, individual and family contextsu2014with concrete methods and tools such as systems dynamics and agent-based modeling, causal loop diagramming, group model building, and process mapping.

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)0.013
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0190.006
Science and technology studies0.0010.001
Scholarly communication0.0170.021
Open science0.0060.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.144
GPT teacher head0.433
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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