Tongue-Tied: Rawls, Political Philosophy and Metalinguistic Awareness
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.
Bibliographic record
Abstract
Is our moral cognition “colored” by the language(s) that we speak? Despite the centrality of language to political life and agency, limited attempts have been made thus far in contemporary political philosophy to consider this possibility. We therefore set out to explore the possible influence of linguistic relativity effects on political thinking in linguistically diverse societies. We begin by introducing the facts and fallacies of the “linguistic relativity” principle, and explore the various ways in which they “color,” often covertly, current normative debates. To illustrate this, we focus on two key Rawlsian concepts: the original position and public reason. We then move to consider the resulting epistemic challenges and opportunities facing contemporary multilingual democratic societies in an age of increased mobility, arguing for the consequent imperative of developing political metalinguistic awareness and political extelligence among political scientists, political philosophers, and political actors alike in an irreducibly complex linguistic world.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.027 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it