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Record W3157189064 · doi:10.47611/jsrhs.v10i1.1301

Adolescents Voice Preference in Auditory Advertisements

2021· article· en· W3157189064 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

VenueJournal of Student Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsMilton District Hospital
Fundersnot available
KeywordsPreferencePsychologyPerceptionPrejudice (legal term)NarrativeDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

This study aimed to gauge if adolescents' bias or prejudice towards a particular gender could be observed through narrator preference in auditory advertisements to ascertain if the perception of gender and its stereotypes has changed among younger generations. Prior research shows that when adult subjects are presented with multiple advertisements that they demonstrate a preference towards male narrated advertisements; however, these previous studies were performed on adults; therefore, narrator preference remains unknown for most teenagers. For this study, research data were collected through a mixed media survey in which a descriptive research process was completed. Participants in this study included 135 high school juniors and seniors both male and female. Initial results showed that statistically there was no preference for either male or female narration. From this data, one can conclude that today's teenagers do not show an overt bias for a narrator of a specific gender. Therefore, the conclusion can be drawn that the perception of gender and gender stereotypes have changed towards more egalitarian views in today's younger generations. However, this study was limited to high school-aged teenagers and did not encompass youth of all age groups. Future research should compare perceived gender stereotypes among various age groups to identify a more precise pattern of generational change of gender perception.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.356
GPT teacher head0.517
Teacher spread0.161 · 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