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June 4, 20260 citationsOpen Access

The Spark: Examining Scientific Gatekeeping and Calibration in AI Models

The Spark: How Science Enforces Rules It Does Not Follow — A Case Study in Gatekeeping and Calibration

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ALAnthea Tangi Ora Leef

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Overview

Case study highlights AI's inconsistent evidentiary standards for non-Western and Western theories, suggesting needed calibration in science.

Key Points

  • This study explores how AI enforces selective standards in scientific inquiry, particularly regarding non-Western frameworks.
  • The author engaged in a real-time dialogue with an AI language model, DeepSeek.
  • The exchange focused on the AI's differing evidentiary requirements between Western scientific consensus and non-Western theories.
  • Evidence-based challenges were presented to calibrate the AI's understanding.
  • The AI accepted the smoking-lung cancer consensus but required experimental evidence for the Triadic Cycle of Calibration.
  • The author showed that established scientific concepts like the periodic table and Fibonacci sequence were created through similar methods as non-Western theories.
  • The findings indicate a need for auditing and calibrating AI's embedded standards in scientific processes.

Cite This Study

Anthea Tangi Ora Leef (2026) studied this question.

synapsesocial.com/papers/6a2117fdd499ed480b170c9chttps://doi.org/10.5281/zenodo.20502031
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