Notice bibliographique
Résumé
This paper takes its point of departure from the observation that the language of corruption in democratic politics is pervasive — even in democracies regarded as relatively clean in global terms, such as (USA, Sweden, Canada). Charges of “corruption” regularly appear in the press — in commentary, in editorials. Public opinion surveys show that much of the public regards “politics” as in democracies as “corrupt.” Political scientists tend to view these findings as evidence of disaffection from politics generally, rather than any particular pathology that could be addressed through institutional change, reform, transparency, or other fixes. Indeed, because charges of corruption can rarely be evidenced — overt corruption is the exception rather than the rule — our tendency has been to treat such charges as indicators of other issues, such as citizen disaffection.I take charges “corruption” at face value by pursuing the common everyday meanings of such charges: citizens believe politicians dissimulate, they lie, they “serve themselves” rather than their constituents, they are insincere, and they are disingenuous. They speak in meaningless generalizations, or use formulas that evoke broad values while avoiding commitments. What is behind such charges, I suggest, is an everyday intuition into the centrality of promise and commitment in democratic politics. Indeed, this feature of democracy is its defining characteristic: it is what allows “politics” — collective decision-making and action in the face of conflict — to be conducted through talk rather than other possible means — coercion, tradition, or purely economic incentives. My key argument in this paper is that it is common for this defining medium of democracy to be “corrupted” — in the literal sense that agents fail, often strategically and even deceptively, to follow through the commitments implied in language use. Pragmatic approaches to language use shows that such commitments — “deontic scorekeeping” in Robert Brandom’s terms — are essential to the force of any linguistic act. If we understand this feature of language within the context of talk-based politics — conflict and strategy conducted through speech — we can see that democracy is particularly prone to the “corruption” of the commitments implied in language use. It follows that the key problem for democratic theory and practice is to find the mix of ethics, incentives, and institutions that protect this element of talk — commitment — from the intrinsic hazards of politics. This framing of the problem yet another way of understanding the project of deliberative democracy: It is comprised of institutions and practices which hedge against linguistic corruption.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,045 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,030 |
| Communication savante | 0,011 | 0,008 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».