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Record W4411667577 · doi:10.61173/vgjwgx23

Research on the Social Attributes and Influences of Film and Television Works

2025· article· en· W4411667577 on OpenAlex
Winglam Fung

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

VenueInterdisciplinary Humanities and Communication Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsPsychologyComputer scienceAdvertisingBusiness

Abstract

fetched live from OpenAlex

The social characteristics and wide-ranging impacts of films and television shows are thoroughly examined in this essay, which maintains that these media serve important social purposes including social reflection, cultural communication, and value formation. It is discovered that films and television shows have a big influence on how social issues are expressed and reflected, in addition to being crucial for cultural innovation and inheritance and the formation of social values. Young people’s development, the social climate, and the creation and execution of public policies are all significantly impacted by films and television shows. These impacts are not favorable, either, since poor television shows and movies can harm the social climate and the development of young people. Based on this, this paper makes recommendations for improving the supervision and guidance of films and television shows, raising awareness of their social responsibility, bolstering their social function, and encouraging teens’ healthy development. By putting these recommendations into practice, the goal is to raise the social worth of movies and television shows, lessen any possible harm they may do, and encourage the peaceful advancement of society.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.205
GPT teacher head0.484
Teacher spread0.280 · 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