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Record W7056663393

Fleeing From the Fear of The Mind’s Eye

2023· dissertation· en· W7056663393 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMental imageClassical conditioningFear conditioningSkin conductanceAuditory imageryContext (archaeology)GeneralizationUnconditioned stimulusConditioned emotional response
DOInot available

Abstract

fetched live from OpenAlex

Mental imagery can elicit strong emotional reactions. Recent research indicates that fear conditioned responses can be acquired to imagined conditioned stimuli paired with a physical unconditioned stimulus (Burleigh et al. 2022). However, it remains unclear whether imagery fear acquisition is consistent with the depictive theory, in which mental images can be stored in a depictive, pictorial format consistent with a subjective experience of imagery vividness, or if this finding is confounded by participants forming the association through a descriptive, linguistic process. The present study (N=52) aimed to deepen our understanding of the underlying mechanism of mental imagery in the context of differential fear conditioning by combining the imagery-based differential fear conditioning paradigm (Burleigh et al. (2022)), with a behavioral avoidance paradigm (Boyle et al., 2016). In addition, a manipulation of the imagery cue was added to the experimental paradigm in which participants heard two distinct auditory cues (instruction modality: imagine color vs imagine orientation) and received shock only for a specific instruction modality, throughout the experiment. Inconsistent with our primary hypothesis, participants did not exhibit significant differences in the skin conductance responses (SCRs) and the self-report ratings of fear during the acquisition phase. As for the behavioral avoidance phase, different results for different instruction modalities were obtained which contradicted our primary hypothesis. Finally, for the generalization phase, significant differential conditioning to imagined conditioned stimuli, regardless of the instruction modality, was reflected through self-reported fear, proportional avoidance, and SCR. Also, participants exhibited higher SCR and reported higher levels of fear in response to GCS+ (Generalized Conditioned Stimuli, which were visual depictions of the previously imagined stimuli) than GCS-, which, as predicted, indicated successful fear generalization. However, inconsistent with primary hypothesis, no significant difference in avoidance attempts was observed between GCS+ and GCS- trials. More importantly, during color modality trials in the generalization phase, significantly higher SCR was observed for CS+ trials than CS- trials. In conclusion, the findings from the cue manipulation raise the possibility that descriptive knowledge contributes to differential conditioning with imagined CSs. Yet, the mixed results obtained in the generalization phase, particularly regarding the color modality trials, supports the depictive theory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.209
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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