The Quality of Canadian and U.S. Government Health Documents Remains Unchallenged Until Better Research Can Be Undertaken. A review of: Lambert, Frank. “Assessing the Authoritativeness of Canadian and American Health Documents: A Comparative Analysis Using Informetric Methodologies.” Government Information Quarterly 22.2 (2005): 277‐96.
Notice bibliographique
Résumé
<b>Objective</b> ‐ To assess by means of citation analysis whether the public trust afforded health documents published by the Canadian and U.S. governments is appropriate, and to ascertain whether differences in the respective health care systems influence how publications are produced.<br><b>Design</b> – Comparative study.<br><b>Setting</b> – The Canadian Depository Service Program (DSP) and the U.S. Department of Health and Human Services (DHHS) websites.<br><b>Subjects</b> – One hundred sixty‐six electronic documents sourced from the DSP website, and 284 electronic documents sourced from the DHHS website.<br><b>Methods</b> – Subjects were randomly selected from repositories offering the most comprehensive collections. Documents with evidence of references to other works used in preparation were separated from thos ewithout such characteristics. Data variables were collected from documents with evidence of references. Statistical analysis of the data was undertaken.<br><b>Main results</b> – Of the respective samples, 89(53%) from the DSP and 109 (38.4%) from the DHHS contained references. Personal authors were identified in 46 (51.7%) and 63(58%) of the respective subsets. Handbooks and guidebooks accounted for the largest portion of the DSP subset (29; 32.6%) and government periodicals were the largest constituent of the DHHS subset (41; 37.6%). Scholarly journals were the most common reference type for both the DSP (44%) and the DHHS (58.5%) subsets. The number of references per document was widely dispersed for both subsets; the DSP mean was approximately 64 (SD=114.68) and the DHHS was 73.71 (SD=168.85). Kruskal‐Wallis subset analysis of median number of references by document type found differences generalizable to the entire DSP (p<0.01) and DHHS (p<0.01) populations. Health Canada Reports, handbooks, andg uidebooks contained significantly more references than periodical articles or factsheets. Certain DHSS documents, classified as “other,” contained more references than periodical articles. Canadian documents were more likely to contain references than U.S. documents (p<0.01). Comparison of documents to determine whether one country employs more rigorous citation practices did not produce statistically significant results. U.S. Federal Government documents are more likely to be referenced in other U.S. government health documents, compared to Canadian publications (p<0.01). The presence of references in documents from either country significantly affected likelihood of being cited by web authors(p<0.01).<br><b>Conclusion</b> – Significant differences in reference use frequencies between DSP and DHHS documents challenges Foskett’s stance that documents of value contain references (Foskett). Use of peer‐reviewed scholarly journals for both DSP and DHHS publications was reassuring, suggesting a fairly rigorous publication standard. Reliance of DHHS publications upon federal government documents remains unclear. Referencing of DSP documents, irrespective of reference usage suggests a level of trust towards Canadian government health publications. Web authors appear more comfortable citing referenced DHHS documents. Further study could involve the examination of reference frequency byj ournal compared against journal impact factors.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,049 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,005 | 0,000 |
| Bibliométrie | 0,003 | 0,008 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».