Bibliographic record
Abstract
Johan Galtung’s criticisms in the 1970s of media representations that glamorize war evolved as the peace journalism alternative approach. Since then, peace journalism has developed into a philosophical framework and an arsenal of framing techniques, but has been criticized for conceptual and practical weaknesses, and the need to strengthen its methodology, conceptual framework and empirical validation. This study of the 2006 Lebanon War press coverage in Canada and Israel aims at contributing to the empirical dimension. Stories published on and during the war by the Canadian Toronto Sun and the Israeli Yediot Aharonot were content analysed according to criteria adapted from the literature. General findings demonstrate an expected tendency towards ‘war journalism’. Comparative findings for each newspaper, however, show that peace journalism is not entirely disregarded. While the study indicates both the salience and the resilience of war journalism, it also concludes that there are opportunities for the advancement of peace journalism and professional practices that could be adopted to achieve this.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.094 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.028 | 0.040 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".