Critical assessment of high-circulation print newspaper coverage of the Institute of Medicine report <i>Dietary Reference Intakes for Calcium and Vitamin D</i>
Bibliographic record
Abstract
OBJECTIVE: To evaluate high-circulation US and Canadian newspaper coverage of the Institute of Medicine (IOM) report Dietary Reference Intakes for Calcium and Vitamin D and assess pre-report and post-report reporter-specific vitamin D-related coverage. DESIGN: Two independent reviewers analysed the newspaper articles. The key report findings cited, proportion of sentences describing the IOM report and proportion of sentences describing critical viewpoints on the report were calculated. The content of articles written by reporters with a history of pre-report vitamin D-related articles was compared with that of articles written by reporters without such a history. SETTING: Factiva and LexisNexis searches of the top thirty US and three English-language Canadian print newspapers, by circulation. SUBJECTS: Articles on the IOM report published from 30 November to 21 December 2010 and previous vitamin D-related articles written by the same reporters. RESULTS: Only ten articles met inclusion/exclusion criteria. Articles inconsistently cited the key findings in the IOM report. Reporters with a history of pre-report articles highlighting the benefits of vitamin D dedicated a greater proportion of sentences to viewpoints critical of the IOM report (P < 0·01). There was no significant difference between pre-report publication history and proportion of sentences focused on the IOM report. A borderline-significant difference (P = 0·058) was observed between pre-report articles highlighting the benefits of vitamin D and the absence of reference to potential risks of vitamin D overconsumption. CONCLUSION: Our findings suggest that newspaper articles did not consistently or comprehensively report the IOM recommendations and that pre-report publication history of reporters was related to post-report article content.
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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 | 0.112 | 0.472 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.044 | 0.029 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".