DETERMINANTS OF ORGANIZATIONAL MEDIATIZATION: AN ANALYSIS OF THE ADAPTATION OF SWEDISH GOVERNMENT AGENCIES TO NEWS MEDIA
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
This article seeks to explain why the media affect some governmental agencies more than others. We develop a measuring instrument for the mediatization of agencies; gauging how they adapt to the media. We analyse the effects of six potential explanations of mediatization: media pressure, organizational size and task, salience, geographic location, and management structure. The analysis is based on a comprehensive quantitative contents analysis of policy documents from all governmental agencies in Sweden. The results show that agencies' propensity to adapt to the media is mainly determined by their management structure rather than, as could have been expected, by media pressure. Organizations managed by career managers invest more in media management than those led by field‐professionals. Our results suggest that agencies have substantial agency in terms of how they cope with the media and that mediatization refers to much more than passive adaptation by organizations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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