Tirer la responsabilité au clair : le cas des attitudes implicites et le révisionnisme
Bibliographic record
Abstract
Dans cet article, je considère l’influence possible des recherches récentes sur les attitudes en psychologie sociale, principalement dans le paradigme des théories des processus duaux [dual process theories], sur notre compréhension de la responsabilité. La thèse que je soutiens est que certaines révisions à notre façon de comprendre la responsabilité et nos pratiques d’attribution de la responsabilité pourraient être justifiées par ces travaux. Avant de présenter les révisions que j’introduis, je décris les grandes lignes du paradigme que j’utiliserai, soit celui des théories processus duaux tel qu’appliqué aux attitudes. Puis, m’inspirant de Vargas (2004, 2005), je présente les différentes formes que peuvent prendre le révisionnisme. Parce que ces révisions s’appliquent à des notions qui sont utilisées à la fois par le commun des mortels et par les philosophes (qui tentent soit de les reconstruire rationnellement, soit de les modifier), je présente ce que l’on présume que pense chacun des groupes sur la question. Finalement, je présente trois révisions, plutôt « locales », que ces travaux pourraient inspirer.In this paper, I want to consider the possible influence of recent research in social psychology about attitudes — more precisely in the dual process paradigm — on our comprehension of responsibility. The thesis I want to defend is that this body of work could inspire a certain number of revisions to our way of understanding responsibility. Before introducing these revisions, I describe, in broad strokes, the empirical paradigm of dual process as applied to attitudes. Then, in order to be clear about the kind of revisions that I will propose, I present Vargas’ taxonomy of revisionism (2004, 2005). Because revisions are applied to notions that are used both by folks and philosophers (that present their theories as reconstructions of common sense), I present what each group thinks of responsibility. Finally, I present three revisions — mostly local revisions —that theories of dual attitudes could inspire.
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.
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 | 0.008 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".