Media framing of inequality of opportunities in education during the pandemic: analysis of the Spanish online media agenda
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
Due to the COVID-19 pandemic and the confinement of the population, education went from its usual face-to-face model to an online one. Different research points out how this situation has aggravated previous inequalities in education. On the other hand, during confinement, media consumption grew significantly. In this way, citizens use the media to inform themselves and form their public opinion. Thus, this research seeks to analyse how Spanish digital news addresses this link between inequality of opportunities in education and the pandemic. For this purpose, the six most-read cybermedia were selected, and all the journalistic texts that related to both concepts were analysed for a year (March 1, 2020–February 28, 2021). The population is composed of 2,727 journalistic stories, and we work with a stratified sample (n = 958) according to the content production per quarter and for each of the selected media. The results show how the journalistic accounts analyzed tend to link inequality of educational opportunities with income inequality and with class and age gaps. Despite this, the level of deepening in coverage does not allow progress on possible solutions that help mitigate this social problem aggravated by the pandemic, although it is higher than when other types of inequalities are addressed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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