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MASTER CHEFS INTERNATIONAL JOURNAL

Culinary Adjudication Measurement Science: Founding a New Science for Measuring Dish Quality, Judge Reliability, and Decision Fairness

Master Chef Ahmad Maadarani
IUOAMC-CAMS-2026-001
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Academic Publication Details

Author Master Chef Ahmad Maadarani
Published Date 2026-08-09 10:08:59
Archive Code IUOAMC-CAMS-2026-001
Publication Type Academic Research Article
Abstract
This research founds Culinary Adjudication Measurement Science (CAMS) as a new applied measurement field studying dish quality, judge reliability, and decision fairness within one system. It defines the Culinary Judging Event (CJE) as an interaction among dish, judge, context, and time, and introduces seven foundational laws, the JRI, CBD, SSI, JCG, PII, and FACS indicators, and a multi-stage protocol involving blind evaluation, confidence registration, contextual disclosure, hidden repetition, and calibration. The work is an original construction by Master Chef Ahmad Maadarani and contains no external references; its laws and equations are proposed as testable constructs requiring empirical verification and development.
Citation Tools
Maadarani, A. (2026). Culinary Adjudication Measurement Science: Founding a New Science for Measuring Dish Quality, Judge Reliability, and Decision Fairness. Master Chefs International Journal, IUOAMC Global Platform.
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APA Citation:
Maadarani, A. (2026). Culinary Adjudication Measurement Science: Founding a New Science for Measuring Dish Quality, Judge Reliability, and Decision Fairness. Master Chefs International Journal, IUOAMC Global Platform.

Context as an Independent Variable

Scientific Thesis

Context includes chef identity, country, rank, dish description, service order, and peer opinion; each element may change a score while the sample remains unchanged.

Position within CAMS

This part defines the objects and units of the new science. A judging event is not produced by the dish alone; it emerges from the interaction of dish, judge, context, and time. The score is therefore analyzed as the outcome of a composite relation rather than as an isolated number.

The subject of “Context as an Independent Variable” is treated as an operationally definable component rather than a general verbal opinion. The term must be connected to a specific judging event, retainable data, and a declared method for distinguishing observation from inference. This separation prevents personal expertise from becoming authority that cannot be reviewed.

Proposed Foundational Rule

Context includes chef identity, country, rank, dish description, service order, and peer opinion; each element may change a score while the sample remains unchanged. This rule is a foundational hypothesis within the new science. Its future strength depends on testing, reapplication, and comparison of results, not on declaration alone. A clear distinction is maintained between founding a scientific field and claiming that all of its laws have already received empirical confirmation.

Operational Definition and Measurement

Each event receives a record connecting the coded sample, judge code, tasting order, temperature, recording time, score, confidence, and any change after contextual disclosure. This makes it possible to reconstruct the decision step by step.

The process begins by defining the target variable, choosing a baseline, and conducting a comparison under known conditions. Raw score, confidence, time, and stage are recorded before any composite indicator is produced. Values that conflict with panel expectation must not be concealed because they may reveal a problem in the sample, judge, or procedure.

Applied Procedure

  1. Define the purpose before tasting begins.
  2. Code the dish and judge and conceal unnecessary information.
  3. Record score, confidence, and time independently.
  4. Conduct the required comparison or repeat.
  5. Calculate and interpret the difference before confirmation.
  6. Preserve the record for review and verification.

Field of Use

This structure applies to competitions, competency examinations, panel training, cross-round performance comparison, and the investigation of fairness-related objections.

Testable Hypothesis

This chapter proposes that integrating “Context as an Independent Variable” into session design will increase the panel’s ability to explain scores, reduce untraceable decisions, and make professional disagreement analyzable rather than a confrontation between preferences. The proposition must be tested across multiple sessions before final thresholds are fixed.

Scientific Integrity Controls

This is an original foundational work and contains no external reference list. Concepts, laws, equations, and protocols are therefore presented as scientific constructs proposed by the founder, while practical effects remain subject to testing, calibration, and independent review. The absence of external references does not remove the need for evidence; it makes the production of empirical evidence a necessary next phase.

Section Conclusion

This component adds a defined building block to CAMS by connecting a decision with its conditions, source, and method of measurement while preserving the role of human expertise. The goal is not to replace the judge, but to make adjudicative authority fairer, clearer, more responsible, and capable of systematic development.

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