An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
Bibliographic record
Abstract
A considerable amount of research has evaluated children's lie-telling behaviors and skills(1-2); however, limitations with the tasks used for eliciting false testimonies and interviewing children have restricted the generalizability of the findings. The primary aim of the current study is to provide an easy-to-administer and ecologically valid method for measuring the veracity and quality of school-aged children's (ages 6-11) testimonies when they are asked to provide different types of true and false reports. Moreover, the methodology enables researchers to examine the social and developmental factors that could influence the credibility of a child's testimony. In the current study, children will witness a theft, and are then asked to either falsely deny the transgression, falsely accuse a researcher of the theft, or tell the truth. Afterwards, children are to be interviewed by a second researcher using a thorough and ecologically valid interview protocol that requires children to provide closed-ended and free-recall responses about the events with the instigator (E1). Coders then evaluate the length and number of theft-related details the children give throughout the interview, as well as their ability to maintain their true and false reports. The representative results indicate that the truth and lie-telling conditions elicit the intended behaviors from the children. The open-ended interview questions encouraged children to provide free-recall information about their experiences with E1. Moreover, findings from the closed-ended questions suggest that children are significantly better at maintaining their lies with age, and when producing a false denial compared to a false accusation. Results from the current study can be used to develop a greater understanding of the characteristics of children's true and false testimonies about crime, which can potentially benefit law enforcement, legal staff and professionals who interview children.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".