Interpreting Endeavours, Assessing Agency in Late-Medieval Relations – Mirator-lehden teemanumero
Bibliographic record
Abstract
The Medieval Gender theme issue of MIRATOR presents four articles by the members of the Medieval Gender History Network, a Nordic network aiming to enhance co-operation between scholars interested in gender and the Middle Ages in the North of Europe.The coordinators of the network are Anu Lahtinen (University of Turku) and Christine Ekholst (University of Guelph).The network, now consisting of more than fifty members, values interdisciplinarity; it gathers together scholars representing a variety of fields, including historians, archaeologists, philologists, art historians and theologians, to name but a few.The first meeting of the network was held in Stockholm on 15-16 April 2010.Stockholm University offered the premises, where thirty medievalists from the Nordic countries (including one from UK) got together to discuss current research on gender issues within medieval studies.Invited keynote speakers were Elisabeth Arwill Nordbladh from the University of Gothenburg and Päivi Salmesvuori from Helsinki University.The second meeting took place in Helsinki, when a symposium Taking Care of Body and Soul was organized for 16-17 June 2011.David Ashurst (University of Durham, UK) and Elina Gertsman (Case Western University, US) gave the keynote lectures.Altogether 25 participants from six countries exchanged their ideas and results in the rooms of Svenska Litteratursällskapet, but also visited the fortress island of Suomenlinna as well as the medieval collections of the National Museum of Finland.The third meeting, with the theme Deviance, took place at Durham University in England on 6-8 July 2012.The conference was hosted by David Ashurst and held at St John's College.Participants had a chance to visit Durham Castle and Cathedral, and take part in a little post-conference tour, an excursion to an Anglo-Saxon church in Escomb.Immediately after the Durham meeting, the network organized four sessions with three papers in each at the International Medieval Congress (IMC) in Leeds: 'Neglecting and (Dis)Obeying the Rules, I & II : Conflicts and Their Consequences; Conflicting Rules' and 'Rules of Love, Marriage and Inheritance, I & II: Marital Statutes, Ordinances and Law; Ideals and Disciplines in the Family."'The network activities are still continuing: for instance, in 2014 at the meeting of the Nordic historians in Joensuu, Finland, on 14-17 August, Det 28.Nordiska historikemötet, where the network members
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".