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title: Kahneman4Review
emoji: 🧠
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: true
python_version: '3.11'

Kahneman4Review

Kahneman4Review is a research-oriented framework for analyzing the cognitive structure of academic peer review through the lens of Daniel Kahneman's dual-process theory in Thinking, Fast and Slow. The project studies whether review statements are primarily driven by System 1 reasoning (fast, intuitive, impression-based judgment) or by System 2 reasoning (slow, deliberate, evidence-based analysis).

Rather than treating reviews only as scalar signals of acceptance or rejection, this project asks a deeper scientific question:

What kinds of cognition are reflected in peer review text, and how do those cognitive modes shape review quality, fairness, and decision reliability?

This perspective reframes peer review as a reasoning process rather than merely an evaluative outcome.