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Record W1988923406 · doi:10.1080/10683160802385398

The effects of different paraphrasing styles on the quality of reports from young child witnesses

2009· article· en· W1988923406 on OpenAlexaff
Angela D. Evans, Kim P. Roberts

Bibliographic record

VenuePsychology Crime and Law · 2009
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsPsychologyInterviewTone (literature)Quality (philosophy)AggressionScale (ratio)Social psychologyCompromiseChild sexual abuseDevelopmental psychologySexual abuseHuman factors and ergonomicsPoison control

Abstract

fetched live from OpenAlex

Abstract Young children's descriptions of sexual abuse are often sparse thus creating the need for techniques that elicit lengthier accounts. ‘Paraphrasing’, or repeating information children have just disclosed, is a technique sometimes used by forensic interviewers to clarify or elicit information (e.g. if a child stated ‘He touched me’, an interviewer could respond ‘He touched you?’). However, the effects of paraphrasing have yet to be scientifically assessed. The impact of different paraphrasing styles on young children's reports was investigated. Overall, paraphrasing per se did not improve the length, richness, or accuracy of reports when compared to open-ended prompts such as ‘tell me more’, but some styles of paraphrasing were more beneficial than others. The results provide clear recommendations for investigative interviewers about how to use paraphrasing appropriately, and which practices can compromise the quality of children's reports. Keywords: child eyewitnesschild witnesschildren's memoryinterviewinginvestigative Notes 1. Five interviews from each paraphrasing condition, in each study, were independently coded for interviewer aggressiveness (on a scale of 1–5) and challenging tone (on a scale of 1–5). In general, interviewers were considered to be very low in aggression (Experiment 1: Ms = 1.04, 1.044, SDs = 0.04, 0.05, for the yes/no-paraphrasing and expansion-paraphrasing condition, respectively; Experiment 2: Ms = 1.25, 1.30, SDs = 0.10, 0.20, for the expansion-paraphrasing and paraphrasing-only condition, respectively) and challenging tone (Experiment 1: Ms = 1.03, 1.04, SDs = 0.04, 0.05, for the yes/no-paraphrasing and expansion-paraphrasing condition, respectively; Experiment 2: Ms = 1.23, 1.18, SDs = 0.20, 0.12, for the expansion-paraphrasing and paraphrasing-only condition, respectively). Thus, there were no differences across condition, ts < 0.50, all NS. 2. The finding that children provided fewer inaccurate details after yes/no paraphrases than expansion paraphrases could also be explained by a ‘yes bias’. Some researchers have noted that children's tendency to reply with a yes bias may increase children's accuracy to yes/no questions if the correct response is ‘yes’ (Peterson, Dowden, & Tobin, Citation1999; Steffensen, Citation1978). Given that in the present study children's responses were for the most part accurately paraphrased, the correct response to yes/no paraphrases would indeed be ‘yes’. Thus, a yes bias may help explain why children's responses contained a greater number of inaccurate details after expansion paraphrases than yes/no paraphrases. Since children in the yes/no paraphrasing condition were likely to give a simple ‘yes’ response (which would most often be coded as accurate) while children in the expansion paraphrase condition gave additional details (which could be coded as accurate or inaccurate), children in the expansion paraphrase condition provided both more accurate and inaccurate details.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.042
GPT teacher head0.354
Teacher spread0.312 · 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 designBench or experimental
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

Citations10
Published2009
Admission routes1
Has abstractyes

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