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MASTER CHEFS INTERNATIONAL JOURNAL

Culinary Adjudication Measurement Science: Comprehensive Academic and Applied Textbook

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

Author Master Chef Ahmad Maadarani
Published Date 2026-08-09 12:29:08
Archive Code IUOAMC-CAMS-TEXTBOOK-2026-001
Publication Type Academic Research Article
Abstract
A comprehensive academic and applied textbook establishing Culinary Adjudication Measurement Science, with one hundred complete learning subjects in each language covering dish, judge, context, time, laws, indicators, protocols, governance, and advanced applications.
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Maadarani, A. (2026). Culinary Adjudication Measurement Science: Comprehensive Academic and Applied Textbook. IUOAMC Global Platform.
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APA Citation:
Maadarani, A. (2026). Culinary Adjudication Measurement Science: Comprehensive Academic and Applied Textbook. IUOAMC Global Platform.

The Culinary Judging Event — CJE

Learning outcomes

After completing this subject, the learner will be able to:

  • define the Culinary Judging Event as the smallest complete analytical unit in CAMS;
  • determine the beginning, end, and data boundaries of an event;
  • create a unique identifier preventing sample, judge, or round confusion;
  • distinguish dish, event, and panel records;
  • construct an event matrix for multiple judges and samples; and
  • use linked events to examine repetition, context, and time.

Why an event unit is required

It is not enough to state that a dish received 82 points. The value may be a panel mean, one judge’s score, a second-round decision, or a value modified after discussion. Without the event that produced the number, sources become mixed and analysis becomes unreliable.

A Culinary Judging Event is a defined occurrence in which one judge encounters one sample within a known round, context, and time, producing a closed record of observation, score, and confidence. It is the smallest unit retaining complete meaning; dividing it further would separate the score from its source or the observation from the sample.

The event state is represented as:

XCJE = [D, J, C, T, O, S, K]

The vector contains dish state, judge state, context, time, observation, score, and confidence. Interpretation and authorization are attached to the decision record produced from the event.

Event boundaries

A CJE begins when a specified sample becomes physically available to a specified judge and intentional sensory exposure starts. It ends when observation, score, and confidence are closed for that stage. Retasting after discussion or information disclosure is not silently merged into the earlier event; it creates a new event linked to the first.

This separation protects time. A judge may taste a dish hot and return seven minutes later after its sensory condition has changed. Combining both decisions in one record hides thermal and delay effects. Two events make comparison possible.

Unique event identifier

The operational identifier contains enough components to prevent duplication and confusion:

CJE-ID = E : S : J : R : T
  • E: competition or session code.
  • S: sample code.
  • J: judge code.
  • R: round or stage code.
  • T: precise timestamp or temporal sequence.

CJE-GF26:S07:J04:BR:143215, for example, identifies a specified sample evaluated by a specified judge in the blind round and closed at 14:32:15. The identifier does not expose competitor or judge names during analysis. Their identities remain connected through a protected key available only to authorized roles.

Record levels

CAMS separates three levels:

  • Dish record: sample description, technical condition, and all events associated with the dish.
  • Event record: one encounter between one judge and one sample at one stage.
  • Panel record: aggregation and analysis of panel events, agreement, drift, weighting, and final decision.

Mixing the levels creates error. A dish mean does not belong to one judge, one judge’s score does not represent the panel, and reconciliation does not erase the independent events preceding it.

Relations among events

CAMS gains analytical power when events are linked without being merged. Events may be related because they concern the same sample at different times, the same judge under a hidden repeat, or the same sample before and after context disclosure. Relation type determines the indicator used:

  • hidden-repeat relation for consistency;
  • before-and-after relation for contextual drift;
  • temporal relation for dish or judge stability; and
  • panel relation for agreement and independence.

Every event retains its original values. Indicators are computed from differences among linked events.

Mind map

Worked example

One dish was presented to two judges in a blind round, returned to one judge under a hidden code, and then evaluated following chef-identity disclosure.

Event Visible sample Judge Stage Score Confidence Relation
A S07 J01 Blind 84 80 Baseline
B S07 J02 Blind 79 76 Panel
C S19 J01 Hidden repeat 83 82 Linked to A
D S07 J01 Identity disclosed 90 88 Linked to A

When the coding key is opened, S19 is shown to be identical to S07. Events A and C differ by one point, indicating high repeat consistency for J01. Events A and D differ by six points after identity disclosure. Because the judge was stable before disclosure, contextual movement becomes important evidence requiring explanation.

If all four values were grouped only as “dish scores,” the distinct functions of repetition, context, and panel comparison would disappear. The CJE preserves the meaning of each value.

Applied laboratory: building an event matrix

Purpose

Convert a judging session containing multiple samples, judges, and rounds into correctly linked independent events.

Design

The training session contains three samples, three judges, and two rounds. The later round includes one sample repeated under a new code and a chef description disclosed for another sample.

The learner constructs a matrix in which each row represents one event. No row may contain more than one judge or sample. Columns include event identifier, sample, judge, round, time, context state, score, confidence, observation, and relation code.

Integrity checks

  • Every event identifier must be unique.
  • Closure time cannot precede tasting time.
  • Every repeat must link to at least one baseline event.
  • A blind event cannot contain information unavailable before disclosure.
  • The original score remains preserved when a later event is created.

Practical assessment

The learner receives an unstructured chronological session description and converts it into a CJE record. The description contains deliberate errors, including a duplicated identifier, a score without a judge, a modification without a new event, and a closure time preceding tasting.

Assessment rubric

Criterion Weight
Correct event boundaries 25
Integrity of unique identifiers 15
Accuracy of event relations 20
Detection of time and context errors 25
Auditability of the record 15
Total 100

Core terms

  • CJE: one measurement occurrence linking a judge and sample at a specified time and stage.
  • Baseline event: event from which a later comparison begins.
  • Linked event: independent event connected to another for an analytical purpose.
  • Timestamp: value documenting the moment of registration or closure.
  • Coding key: protected record connecting codes to real identities.
  • Event matrix: table in which each row is one event and each column is a defined variable.

Scientific conclusion

The Culinary Judging Event is the organizational atom of CAMS. It converts a session from an ambiguous collection of scores into a network of decisions that can be linked and compared without losing independence. Every score knows its sample, judge, context, and time, and every change becomes an analyzable event rather than disappearing inside a final number.

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