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Record W2992004351 · doi:10.1177/0093854819892654

Beyond Common Sense and Human Experience: Lay Perceptions of Witness Coercion

2019· article· en· W2992004351 on OpenAlexaffabout
L. Fleming Fallon, Brent Snook

Bibliographic record

VenueCriminal Justice and Behavior · 2019
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCoercion (linguistics)WitnessSocial psychologyPsychologyCovertPerceptionFeelingPolitical scienceLaw

Abstract

fetched live from OpenAlex

Perceptions of the use of coercive tactics in witness interviews were examined. Canadian community members ( N = 293) were asked to read a transcript of a witness interview that included either (a) threats/overt coercion, (b) minimization/covert coercion, or (c) no coercion, and answer questions about the interview. Participants rated the threat transcript as being the most coercive, containing the most pressure, involving the most serious consequences for withholding information, and eliciting the most negative feelings from witnesses. Conversely, the minimization transcript tended to be rated less negatively than the threat transcript and was also rated as being the most effective for gathering information. Results indicate that laypeople recognize the issues with explicitly coercive police tactics, but are less clear on the problems with subtler forms of coercion. The implications for the truth-seeking function of the justice system and the role of expert testimony in the courtroom are discussed.

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 score0.619
Threshold uncertainty score0.998

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)0.0030.000

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 head0.039
GPT teacher head0.383
Teacher spread0.344 · 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

Citations9
Published2019
Admission routes2
Has abstractyes

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