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Record W2268432699

Therapeutic Consequences of Civil Actions for Damages and Compensation Claims by Victims of Sexual Abuse - An Empirical Study

2000· article· en· W2268432699 on OpenAlexaffabout
Bruce Feldthusen, Olena Hankivsky, Lorraine Greaves

Bibliographic record

VenueSSRN Electronic Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDamagesCompensation (psychology)Context (archaeology)Settlement (finance)Government (linguistics)PsychologyCriminologyFinancial compensationSexual abuseSocial psychologyPolitical scienceLawSuicide preventionMedicinePoison controlMedical emergencyBusinessHistory
DOInot available

Abstract

fetched live from OpenAlex

The article report the results from a study about how survivors of sexual abuse experience the legal system when they make claims from compensation. In particular, the authors tried to evaluate the processes within a therapeutic context drawn largely from the work of Judith Herman. The authors interviewed eighty-seven respondents 98 percent of whom were female. This number included forty-eight participants who had filed compensation claims with the Criminal Injuries Compensation Board of Ontario; thirteen Canadian litigants who had commenced civil actions for sexual battery; and twenty six participants whose claims were validated under the unique Agreement between the Grandview Survivors Group and the Government of Ontario. Respondents were questioned about what motivated them to initiate the claim for compensation. They were also asked about various aspects of the claiming processes, including the role of the family members, therapists, lawyers and judges; the impact of delay; and the impact of settlement actually obtained. Almost all respondents reported that financial goals had been secondary to therapeutic expectations. Most reported significant therapeutic consequences, some positive and some negative. The article relies heavily on the actual words used by the survivors to descrive their claiming experiences. These are their stories.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.425
Teacher spread0.357 · 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 designQualitative
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

Citations6
Published2000
Admission routes2
Has abstractyes

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