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Record W2052971761 · doi:10.1002/acp.1362

Photographs can distort memory for the news

2007· article· en· W2052971761 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Cognitive Psychology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsKwantlen Polytechnic University
FundersGeorge Washington University
KeywordsNewspaperPsychologyTest (biology)Minor (academic)Media studiesSocial psychologyHistoryArtSociologyHumanities

Abstract

fetched live from OpenAlex

Abstract In this experiment, we ask whether photographs can lead to false memories for elements of a newspaper story. Participants played the role of a newspaper editor, identifying minor typographical errors in three newspaper articles and marking the text where they thought an accompanying photo should be placed when the story was printed. The critical article described a hurricane's effects on a coastal region; the story made no mention of personal injury or death. We varied the accompanying critical photo: participants saw either a photo of a village before the hurricane hit or after. In a later memory test, both ‘Before’ and ‘After’ participants were equally good at correctly recognising old statements and rejecting weak lures. However, the ‘After’ participants claimed to have read information describing death and injury 32% of the time. By comparison, ‘Before’ participants claimed to have read these statements only 9% of the time. Copyright © 2007 John Wiley & Sons, Ltd.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.582
Threshold uncertainty score0.480

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 head0.058
GPT teacher head0.355
Teacher spread0.297 · 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