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Record W2895320822 · doi:10.1177/0093650219838959

Exploring the Effects of Violating the 180-Degree Rule on Film Viewing Preferences

2019· article· en· W2895320822 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCommunication Research · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsDegree (music)PsychologySocial psychologyCognitive psychologyPhysicsAcoustics

Abstract

fetched live from OpenAlex

The 180-degree rule is thought to help smooth the change between film shots. When two individuals are speaking to each other, there is an imaginary axis of action running between them. If the camera crosses this axis, it breaks the 180-degree rule. A violation of the 180-degree rule is thought to have negative effects on viewers’ enjoyment of films. The present study investigated this idea. Experiment 1 established that naive participants can detect violations in videos. Experiment 2 tested the putative negative effects of 180-degree rule violations. The results indicated that violations can confuse and disorient viewers. Critically, as revealed by Experiment 3, violations did not alter the viewers’ liking of a video: Viewers were as likely to prefer a video with a 180-degree violation as one without. Collectively, these data shed light on fundamental beliefs regarding the 180-degree rule, which may help inform filming decisions around film enjoyment.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.518
GPT teacher head0.424
Teacher spread0.094 · 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