Construction institutionnelle des discours: idéologies et pratiques dans une organisation supranationale
Bibliographic record
Abstract
The purpose of this article is to explore the way a supranational institution is imposing diverse forms of regulations on the production of discourse, and to interrogate the reasons for these choices and their consequences on the language practices within the institution. The research is built on the analysis of summary records, a frequently used text in different bodies of the specific institution I am working on: The United Nations. After exploring the general concerns of the UN about the documentation, I will explicate the underlying ideologies that appear in the instruction manuals for the writing of summary records. In finishing I will make a comparative analysis based on two different oral communications and their original summary records, focusing on the process of textualisation/transposition. This will allow me to interrogate the status of these specific documents within the ideology of the institution, but also to show how theideology of objectivity, central for the institution, is reflected through the linguistic conceptions and institutional practices.
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.046 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".