The effects of different paraphrasing styles on the quality of reports from young child witnesses
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".