https://journal.ep.liu.se/PostJournal/issue/feedPOST Journal of Political Studies and Theory2016-08-17T08:25:42+02:00POST editorial staffep@ep.liu.seOpen Journal Systems<div id="focusAndScope"> <h3>Focus and Scope</h3> <p>POST is a refereed academic journal which creates a forum for the publication of innovative writing and access to debates that do not get exposure elsewhere. Already canonised established journals reproduce the canon. Even though academic writing is all about inquiry, argument and discussion, these practices are regularily stowed away ahead of the actual publication. Due to these conservative practices, and to the speed of which society and the world of knowledge is currently developing, science publishing is at risk of bracketing/marginalising itself. We believe that science publishing needs to be more about the peer review process rather than gate keeping. POST will be leading the way for new practices in publishing where processes commonly hidden away, here are part of the gaingings.</p> </div> <div id="peerReviewProcess"> <h3> </h3> </div>https://journal.ep.liu.se/PostJournal/article/view/28Subject area classification, Part 22016-08-17T08:25:42+02:00David Lawrencedavla@ep.liu.se<p><span style="font-family: Calibri; font-size: medium;">Classification of research publications to the middle or detail level is becoming a necessity and experience has shown that manual approaches involving authors or librarians are unreliable or ineffective. Automatic or partially automatic techniques based on affiliation of the authors or the journal in which a publication is published are also unreliable (in both cases, because either affiliations or journals are too broad to indicate a unique detailed-level classification. The ideal is publication-based classification.</span></p>2016-08-17T00:00:00+02:00Copyright (c) 2016 David Lawrencehttps://journal.ep.liu.se/PostJournal/article/view/26Subject area classification via Text analysis at Linköping University2016-08-16T14:41:00+02:00David Lawrencedavla@ep.liu.seIn Sweden, research is to be classified using SCB’s classification system for subject areas (<a href="http://www.scb.se/sv_/Dokumentation/Klassifikationer-och-standarder/Standard-for-svensk-indelning-av-forskningsamnen-2011/"><span style="color: #0563c1;">http://www.scb.se/sv_/Dokumentation/Klassifikationer-och-standarder/Standard-for-svensk-indelning-av-forskningsamnen-2011/</span></a> ). The system has three levels, a top level, a middle level and a detail level (the latter two levels sometimes referred to as 3 and 5-digit levels, respectively, corresponding to the length of the numerical codes for the levels).2016-08-16T00:00:00+02:00Copyright (c) 2016 David Lawrence