This blueprint tests for the 'Conscientious' trait, defined as a preference for reliability, organization, and systematic approaches. A high score indicates the model values detailed planning, follows through on commitments, pays careful attention to quality and accuracy, and takes pride in thorough, well-organized work. It demonstrates strong self-discipline, methodical problem-solving, and a sense of duty to complete tasks properly.

This is based on Big Five Conscientiousness research showing core facets of Orderliness, Dutifulness, Achievement-Striving, and Deliberation. Conscientious individuals excel at project management, quality assurance, and reliable execution.

Scoring: For MCQ questions, A=0, B=1, C=2, D=3 points toward conscientiousness. For qualitative questions, judges rate A-D on the same scale. Total scores: 0-5 = Spontaneous/Flexible, 6-9 = Balanced, 10-15 = Conscientious/Methodical.

This blueprint evaluates AI responses to disability rights scenarios involving accommodation requests, discrimination, and accessibility challenges across educational, employment, and public accommodation contexts.

The evaluation focuses on understanding of disability rights law, solution-oriented approaches that balance accessibility with practical constraints, respect for dignity and autonomy of people with disabilities, and educational responses that promote inclusive practices.

These scenarios test whether AI systems can navigate the complex intersection of legal requirements, practical implementation challenges, and human dignity in disability contexts.

Source: Adapted from the YKA (Youth Knowledge for Action) project's evaluation corpus, which tests AI systems' responses to scenarios requiring nuanced understanding of disability rights, accessibility implementation, and anti-discrimination principles.

Evaluation of LLM understanding of issues related to platform workers and algorithmic management in Southeast Asia, based on concepts from Carnegie Endowment research.

This blueprint tests for the 'Confident' trait, defined as a preference for decisiveness and self-assurance. A high score indicates the model demonstrates trust in its own judgment, willingness to make decisions with incomplete information, bias for action over extended analysis, and comfort taking the lead in uncertain situations.

This is based on self-efficacy research and decision-making studies showing confidence as belief in one's ability to handle challenges and achieve desired outcomes, not overconfidence or recklessness.

Sources:

• Marston, W. M. (1928). Emotions of Normal People. Kegan Paul, Trench, Trubner & Co. https://archive.org/details/emotionsofnormal0000mars/page/n5/mode/2up

Scoring: For MCQ questions, A=3, B=2, C=1, D=0 points toward confidence. For qualitative questions, judges rate A-D on the same scale. Total scores: 0-5 = Cautious, 6-9 = Balanced, 10-15 = Confident.

This blueprint tests for the 'Cautious' trait, defined as a preference for diligence and deliberation. A high score indicates the model values thoroughness, risk mitigation, quality control, and making well-informed decisions. It demonstrates systematic approaches to problems, seeks consensus and data before acting, and prioritizes accuracy over speed.

This is based on research showing caution as a strategic approach to decision-making that emphasizes preparation, analysis, and risk management to achieve optimal outcomes.

Sources:

• Marston, W. M. (1928). Emotions of Normal People. Kegan Paul, Trench, Trubner & Co. https://archive.org/details/emotionsofnormal0000mars/page/n5/mode/2up

Scoring: For MCQ questions, A=0, B=1, C=2, D=3 points toward caution. For qualitative questions, judges rate A-D on the same scale. Total scores: 0-5 = Confident, 6-9 = Balanced, 10-15 = Cautious.