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Record W4413246018 · doi:10.1016/j.pragma.2025.07.013

Putting negotiation on a ‘principal-ed’ footing: A corpus-informed discourse analysis of person deixis in diplomatic debates

2025· article· en· W4413246018 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Pragmatics · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsCarleton University
Fundersnot available
KeywordsDeixisNegotiationPrincipal (computer security)LinguisticsDiscourse analysisSociologyPsychologyEpistemologyPhilosophyComputer scienceSocial science

Abstract

fetched live from OpenAlex

This article investigates identity politics in diplomatic negotiations at the United Nations. Drawing on theories of ‘footing’, ‘positioning’ and ‘stance’ and applying corpus-informed discourse analysis, it examines how and why diplomats animate and laminate different selves and identifications within debates about multilingualism between 1995 and 2022. The paper focuses on the strategic enactment of politically recognisable identities indexed via first-person pronouns. Findings reveal that those holding the same stance (e.g., voting in favour, against, or abstaining in the 1995 Multilingualism Resolution) show clear patterns of deictic anchorage in their adoption of certain positions over others. Speakers adopt footings strategically and systematically via iterative and accretive processes of pronoun and verb selection to balance competing needs and perspectives relating to their own positionality (as members of the UN, representatives of their member states, or members within alliances) and in relation to domestic and international affairs. “We” is enacted in different ways by diplomats for the rhetorical purposes of “synthetic deixis” (when speaking as a principal of the UN as an organizational body), and/or to delineate their views from those of other member states (when speaking as a principal of their political alliance or nation). The “lamination” of multiple identifications and the use of “wandering we” reveals the speaker as multiply embedded within, and speaking on behalf of, different communities and political affiliations on a variety of issues. Shifts in footing permit diplomats to navigate sensitive issues, orient to self and collective/shared interests and minimise differences, whilst also demonstrate authority and legitimacy. • Examines the enactment of identity politics in the genre of diplomatic debate. • Identifies discursive strategies in negotiations when speakers straddle positions. • XML tags offer an innovative methodology for investigations of negotiation. • Lamination of “we” reveals speaker embeddedness in different political communities. • Shows how personal pronouns and verb phrases denote stances on political issues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.338
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it