Research:Screening WikiProject Medicine articles for quality
Recent work in article quality assessment detection[1][2] can enable us to automatically identify which articles are most due to be re-assessed. Let's apply this method to WikiProject Medicine's stubs.
Methods
editArticles by category
editA relevant set of stub-class articles can be gathered by scanning en:Category:Stub-Class_medicine_articles.
Determining which articles need re-assessment
editUse http://pythonhosted.org/wikiclass. Look for articles that are probably not Stubs.
Results
editOut of 8,818 WikiProject medicine stubs in the category, 50 were redirects and removed for assessment (these redirects are listed below). The remaining articles were run through the wikiclass quality predictor.
Predicted class counts
editThe following table shows the count of the number of articles by predicted assessment class. Note that the "A" assessment class is missing from the quality predictor since the model could not be trained on so few observations.
| Predicted class | Number of articles |
|---|---|
| Stub | 8278 |
| Start | 476 |
| C | 14 |
Sorted prediction table
editThe following table contains a list of articles with a predicted class greater than Stub ordered by the predicted probability that the real assessment class is greater than stub.
Redirects
editThe following section contains a list of talk pages that are in the Stub-class category, but where the parent article is a redirect.
Redirect list
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|---|
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The articles associated with all these talk pages are redirects, except where noted. |
References
edit- ↑ Warncke-Wang, M., Cosley, D., & Riedl, J. (2013, August). Tell me more: an actionable quality model for Wikipedia. In Proceedings of the 9th International Symposium on Open Collaboration (p. 8). ACM.
- ↑ Halfaker, A. & Warncke-Wang, M., Wiki-Class: Wikipedia article quality classification. docs - repo