Sustentabilidade do negócio dos jornais e desafios de gestão: a perspectiva dos executivos europeus e norte americanos
Bibliographic record
Abstract
The digital era has opened doors for countless opportunities for publishing organizations and journalists, and it has increased the number of challenges, in particular related to the business model sustainability. The media companies' management is facing a variety of profound and disruptive challenges that come to significantly challenge various media industry's rationale. This paper intends to understand media business models sustainability and challenges and how managers are reacting and adapting their practices in this industry within digital transformation and in a progressively more competitive market. So, the central research questions of this work are: RQ1.Which are the main strategies and management practices that newspapers companies are implementing in order to achieve the sustainability of their business model and funding? RQ2. What is the extent to which digital newspaper revenue sources are growing and how does the funding model for American newspapers differ from European newspapers? This paper is based on 6 interviews (out of a total of 90 what is the relevance of the other 84 interviews if not used?) with the North American Newspaper Companies' Executives (United States of America and Canada).
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.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".