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Record W103275394

Women survivors of abuse and developmental trauma

2012· book-chapter· en· W103275394 on OpenAlexaboutno aff
Sandra L. Curtis

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2012
Typebook-chapter
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsShameDomestic violenceCriminologyPsychologyDemographySuicide preventionPoison controlMedicineSocial psychologySociologyMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

There is a small but growing practice of music therapy with women survivors of violence, first identified and described in 1990 by Cassity and Theobod and gradually growing since then (Austin, 2006; Curtis, 2000, 2006, 2007, & 2008; Curtis & Harrison, 2006; Day, Baker, & Darlington, 2009; Fesler, 2007; Gonsalves, 2007; Hahna & Borling, 2004; Hammel-Gormley, 1995; Hernanadez-Ruiz, 2005; Lasswell, 2001; MacIntosh, 2003; Montello, 1999; Rinkler, 1991; Rogers, 1993 & 1994; Slotoroof, 1994; Teague, Hahna, & McKinney, 2006; Ventre, 1994; Whipple & Lindsey, 1999; York, 2006). This has accompanied an increasing awareness overall of the serious extent and nature of violence against women. In the United States, during their lifetime, one in four women will experience domestic violence and one in five women will be raped, with 1.3 million women raped every year and an average of three women per day killed by their intimate partners (Black et al., 2011; Kanani, 2012). Furthermore, an estimated 12 to 38% of American women have experienced childhood abuse (Schacter, Stalker, & Teram, 2001). Yet it is difficult to accurately document the full prevalence of violence against women because of underreporting and undercounting (Curtis, 2006; Hahna & Borling, 2004; Kanani, 2012). These are hidden crimes with many reluctant to report because of the personal nature of the violence and for reasons of fear and shame. With gender frequently neglected in reporting processes, the challenge to fully capture the incidence rate is further exacerbated. While violence against women has been ignored or overlooked until recently, there is now a growing recognition that it is pervasive, persistent, and incredibly detrimental. This recognition includes an understanding of the broader scope of the costs of such violence—the personal costs (both short-term and long-term) and the societal costs in terms of public health, criminal justice, and the economy (Curtis, 2008; Kanani, 2012; Statistics Canada, 2006). At the societal level, economic costs alone for women, children, and communities run in the billions of dollars annually. These include medical and mental health care costs, law and legal services costs, shelter and foster care costs, property loss, and work place costs such as productivity loss (Teague, Hahna, & McKinney, 2006). At the personal level, the cost is immeasurable (Curtis, 2007; Kanani, 2012). Ultimately, it damages the very fabric of social justice. In the estimation of Susan Carbon, Director of the U.S. Department of Justice Office of Violence against Women:

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.269
Teacher spread0.226 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2012
Admission routes1
Has abstractyes

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