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Record W4223611426 · doi:10.31219/osf.io/jnk78

Suppression-induced forgetting: A pre-registered replication of the Think/No-Think paradigm. Stage 1 report: In-Principle Acceptance for the Journal Memory.

2022· preprint· en· W4223611426 on OpenAlexaff
Sera Wiechert, Gershon Ben‐Shakhar, Bruno Verschuère, Yoni Pertzov, Ineke Wessel, Jonathan Fawcett

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsForgettingMotivated forgettingTask (project management)RecallRetrieval-induced forgettingPsychologyReplication (statistics)Cognitive psychologyMedicine

Abstract

fetched live from OpenAlex

Post-traumatic stress disorder is characterised by recurring memories of a traumatic experience as well as the deliberate avoidance of those memories in order to forget. However, can intentional suppression really lead to forgetting? The Think/No-Think (TNT) task has been used widely in the laboratory to study suppression-induced forgetting. The idea is that actively suppressing the retrieval of a memory when faced with a reminder reduces its strength, and hence, the memory can become inaccessible across multiple suppression attempts. During the TNT task, participants first learn a series of cue-target word pairs (e.g., WAFFLE-MAPLE). Subsequently, they are presented with a subset of the cue-words and are instructed to either think (respond items) or not think about the corresponding target (suppression items; baseline items are not shown). Successful suppression-induced forgetting is thought to reduce recall of the suppressed items compared to baseline items in subsequent memory tests. Although recent meta-analyses have reported small-to-moderate effect sizes in this paradigm, the current replication represents a collaborative effort to evaluate this paradigm following pre-registration. In particular, we propose an online experimenter-present version inclusive of both the same- (e.g., WAFFLE) and independent-probe (e.g., TREE-M) tests in English-speaking healthy individuals using a direct suppression instruction.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Reproducibility · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
gptno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.099
GPT teacher head0.372
Teacher spread0.272 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Other design
DomainReproducibility
GenreEmpirical · Protocol

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

Citations0
Published2022
Admission routes1
Has abstractyes

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