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Record W4206226206 · doi:10.33732/ixc/12/01sexodr

Sexo, drogas y series de adolescentes: análisis sociales de los adolescentes en las series televisivas

2022· article· en· W4206226206 on OpenAlex
Mayte Donstrup

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueINDEX COMUNICACIÓN · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsTelevision seriesQuarter (Canadian coin)EliteSeries (stratigraphy)PsychologyAdventureConsumption (sociology)EuphoriantHumanitiesArtSociologyGeographyMedia studiesPolitical scienceSocial scienceArt history

Abstract

fetched live from OpenAlex

The aim of this study is to analyze the attitudes and social behaviors of the protagonists of teen series; that is, fiction series produced for teenagers. With this aim, a content analysis has been carried out, a technique that has allowed the identification of the most common behaviors and consequences in said fiction series. The sample is composed of the first season of the seven series best rated by their audience in the first quarter of 2020: Elite (Netflix: 2018- ), Chilling Adventures of Sabrina (Netflix: 2018- ), Sex Education (Netflix: 2019- ), 13 Reasons Why (Netflix: 2017), I Am Not Okay with This (Netflix: 2020- ), Riverdale (The WC: 2017- ) y Euphoria (HBO: 2019- ). The results indicate a high percentage of scenes of unprotected sex and alcohol consumption with hardly any negative consequences.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.328
Teacher spread0.293 · 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