Narratives of Progress and Economic Development
Bibliographic record
Abstract
In this chapter, the most common narratives relating to the function and purpose of investment treaties are analysed that emerged from our data. The overarching discursive framework of the narratives about IIAs’ purpose was marked by the faith in their important role in economic development of the studied countries (IIAs as articles of faith). This broader view was undergirded by the idea of a linear and progressive march of history, in which earlier state and economic formations are eventually transformed into the universally superior social order of capitalist legality, rule of law, and good governance (IIAs as progressive economic development). This broader progressive narrative about IIAs was translated in more specific narratives about IIAs in specific temporal and spatial contexts. International investment agreements were, thus, viewed either as a natural necessity, as a necessary (lesser) evil in the march towards economic progress, or simply as benign instruments that merely reflect the progress already undertaken. Finally, IIAs were also signed to express cultural affinity and played a symbolic role in showing political like-mindedness (IIAs as symbolic tokens of political affinity). In some cases, IIAs helped to project countries’ self-perception of their position in the stylised international relation hierarchy as ‘developed states’.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".