Vislumbrando estereotipos "Análisis de los estereotipos de la mujer colombiana, en los comerciales de televisión abierta privada en Colombia (RCN, Caracol), en la franja Prime Time"
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.
Bibliographic record
Abstract
The stereotypes that are produced in the mass media when they are asumed as only and true, they create individuals with a limited vision of the reality. This research centers it´s point of view in the analysis of the women stereotypes in the television commercials presented by the private television channels in Colombia, in their prime time schedules in the third trimester of 2014. This research was worked through authors as Omar Rincon, Jesus Martin Barbero, Barrie McMahon and Robin Quin, under the cultural studies perspective. This point is subscribed in the content analysis, with a semiotic perspective, where it was realize an interpretative task trying to make deductions and logical and understandable reflections according with the documentary source, in this case advertisement messages. Starting with this, the space is open to the observation and reflection of the television agendas since the symbolic systems, to form audiences with a critic sense, giving an answer to the “ONTEL” and “Comision Nacional de Television” [2].
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it