Materials for the PhD Thesis "Gender-Fair Language in Translation and Post-Editing: Insights and Best Practices"
<div> <div> <div> <p>These materials include:</p> <ul> <li> <p>Call for participation in the study.</p> </li> <li> <p>Document containing information about the study procedure.</p> </li> <li> <p>Informed consent form.</p> </li> <li> <p>Handout on gender­fair language.</p> </li> <li> <p>Three text assignments for translation and post­editing.</p> </li> <li> <p>Interview guides.</p> </li> <li> <p>Interview transcriptions.</p> </li> <li> <p>MAXQDA project file containing the codes for the interview analysis.</p> </li> <li> <p>Target text annotations.</p> </li> <li> <p>Observational protocols.</p> </li> <li> <p>Excel sheet providing an overview of the process data.</p> </li> </ul> </div> </div> </div>
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 0