The archive holds documents on biometric identification as a condition of assistance, with UNHCR’s identity-management guidance read as the node and four disputes from 2023 to 2026 read as its recontextualisations. The cases are Gaza, Malaysia, South Africa and Mizoram, and the textual analysis reads the 21 saved core texts at the first of Fairclough’s three dimensions.
Each mark is one saved document, placed by its date of publication. A ring marks the proposed core corpus; a hollow mark is an approximate date (undated pages, month-only dates, versions). Select a mark to open the record.
Table 2. Proposed core corpus
Table 1. Dataset by case and document class
Thirty-three helper agents ran in this working session on 2 and 3 October 2026. Each searched and read web pages and reported back in text; none saved, edited or deleted a file. Four supplied leads that entered the corpus.
Hover or tap a highlight to find its note, and use the categories to follow one feature across the cases. A double underline marks a span nested inside a longer one.
Annotated spans by document and category. Select a number to read those spans in the Texts view.
Seven readings that cut across the cases. Each one links to the excerpts on which it rests, and the label shows the research question it bears on.
RQ1 asks whether agencies and governments resolve the consent dilemma when they invoke necessity, or make those who must choose between being read and being fed responsible for its outcome. RQ2 asks what recognition would require when people refuse, and whether the actors examined meet that requirement.
Twelve word families counted across each saved text. Shading compares documents within a column, so it shows where each term concentrates.
The ten categories follow Fairclough’s Analysing Discourse (2003). Each card gives the page reference, the question the category asks of a text, and the sub-labels used on this page.