MétaCan
Menu
Back to cohort
Record W2964630834

Belief, Fear and Infrasound

2017· article· en· W2964630834 on OpenAlexaff
Tristan Eckersley

Bibliographic record

VenueStudent Research Proceedings · 2017
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsMacEwan University
Fundersnot available
KeywordsInfrasoundArousalPsychologyPseudosciencePersonalityAudiologyCognitive psychologySocial psychologyMedicineAcoustics
DOInot available

Abstract

fetched live from OpenAlex

Infrasound is low frequency sound outside of the range of human hearing (<20Hz). Despite this, infrasound is still capable of affecting an individual’s arousal. In an attempt to build on previous research, the present study had participants explore a commercial haunted house in which there were a variety of fearful stimuli. Participants in this study were randomly assigned to either a condition of infrasound exposure prior to exploring the haunted house, or no exposure before exploring. The intent of this study was to look the effect of infrasound on fear. Participants fear and arousal were evaluated via self-report questionnaire, and through video footage from the participants’ direct point of view. Furthermore the effects of infrasound on physiological arousal were examined, both in terms nervous system activity as well as cardiovascular activity. In addition to these direct physiological measures. This data was also correlated with participant personality characteristics and any potential pseudoscientific beliefs that the participants may have held to control for any potential confounds. The researchers hypothesized that infrasound will lead to higher levels of arousal and fear associated responses than the non-infrasound condition. Discipline: Psychology Faculty Mentor: Dr. Rodney  Schmaltz

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.290
GPT teacher head0.613
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueStudent Research ProceedingsSame topicNoise Effects and ManagementFrench-language works237,207