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Record W2566373261 · doi:10.1037/lhb0000225

Police reports of mock suspect interrogations: A test of accuracy and perception.

2016· article· en· W2566373261 on OpenAlexaff
Saul M. Kassin, Jeff Kukucka, Victoria Z. Lawson, John DeCarlo

Bibliographic record

VenueLaw and Human Behavior · 2016
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsInterrogationSuspectPsychologyPsycINFOSession (web analytics)PerceptionSocial psychologyIncident reportTest (biology)Legal psychologyCriminologyMEDLINEComputer securityComputer scienceLaw

Abstract

fetched live from OpenAlex

A 2-phased experiment assessed the accuracy and completeness of police reports on mock interrogations and their effects on people's perceptions. In Phase 1, 16 experienced officers investigated a mock crime scene, interrogated 2 innocent suspects-1 described by the experimenter as more suspicious than the other-and filed an incident report. All 32 sessions were covertly recorded; the recordings were later used to assess the reports. In Phase 2, 96 lay participants were presented with a brief summary of the case and then either read 1 police report, read 1 verbatim interrogation transcript, or listened to an audiotape of a session. Results showed that (a) Police and suspects diverged in their perceptions of the interrogations; (b) Police committed frequent errors of omission in their reports, understating their use of confrontation, maximization, leniency, and false evidence; and (c) Phase 2 participants who read a police report, compared to those who read a verbatim transcript, perceived the process as less pressure-filled and were more likely to misjudge suspects as guilty. These findings are limited by the brevity and low-stakes nature of the task and by the fact that no significant effects were obtained for our suspicion manipulation, suggesting a need for more research. Limitations notwithstanding, this study adds to a growing empirical literature indicating the need for a requirement that all suspect interrogations be electronically recorded. To provide a more objective and accurate account of what transpired, this study also suggests the benefit of producing verbatim transcripts. (PsycINFO Database Record

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.354
Teacher spread0.323 · 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 designObservational
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

Citations26
Published2016
Admission routes1
Has abstractyes

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