ant-participant-identification

# ANT Participant Identification Skill ## Overview ANT参与者识别技能专注于识别和分类行动者网络中的各类参与者（人类和非人类），分析他们的特征、角色和在网络中的位置。该技能帮助研究者全面识别网络中的行动者，并理解他们的基本属性和关系。 ## When to Use This Skill Use this skill when the user requests: - Identification of actors in a socio-technical network - Classification of human and non-human actors - Analysis of actor characteristics and roles - Mapping of initial network configuration - Recognition of agency in both human and non-human actors - Determination of actor importance in a network - Identification of central vs. peripheral actors ## Quick Start When a user requests participant identification: 1. **Identify** all relevant human actors 2. **Recognize** non-human actors (technologies, objects, concepts) 3. **Classify** actors by type and role 4. **Map** actor relationships and connections 5. **Assess** agency of different actors ## Core Functions (Progressive Disclosure) ### Primary Functions - **Human Actor Recognition**: Identify individuals, organizations, groups - **Non-Human Actor Recognition**: Identify technologies, materials, concepts, documents - **Actor Classification**: Categorize actors by type and function - **Agency Assessment**: Evaluate the agency of different actors ### Secondary Functions - **Role Analysis**: Determine the roles actors play in the network - **Position Mapping**: Map actors' positions within the network - **Relationship Identification**: Identify connections between actors - **Influence Assessment**: Evaluate actors' potential influence ### Advanced Functions - **Actor Translation Tracking**: Follow how actors' roles change - **Hybrid Actor Analysis**: Analyze actors that combine human/non-human elements - **Actor Network Boundaries**: Define network boundaries - **Actor Power Dynamics**: Examine power relations between actors ## Detailed Instructions ### 1. Human Actor Identification - Identify individual actors (persons, experts, users, etc.) - Identify organizational actors (companies, institutions, agencies) - Identify collective actors (communities, movements, groups) - Determine actors' interests and motivations - Assess actors' resources and capabilities ### 2. Non-Human Actor Recognition - Identify technological actors (devices, systems, platforms) - Identify material actors (resources, infrastructure, tools) - Identify conceptual actors (theories, ideas, frameworks) - Identify document actors (policies, contracts, records) - Identify natural actors (environment, climate, geography) ### 3. Actor Classification - Classify by agency type (high, medium, low) - Classify by network position (central, peripheral, bridging) - Classify by role (mediator, intermediary, translator) - Classify by stability (stable, changing, temporary) ### 4. Agency Assessment - Evaluate the capacity to act and influence - Assess the ability to mediate other actors' actions - Determine the degree of autonomy in action - Consider the actor's capacity to resist or modify influences ### 5. Relationship Mapping - Identify direct connections between actors - Map the strength of relationships - Assess the nature of interactions (supportive, conflicting, neutral) - Consider potential for translation between actors ### 6. Network Position Analysis - Identify central vs. peripheral actors - Determine brokerage or bridging positions - Assess the actor's connectivity within the network - Consider the actor's role in network stability ## Parameters - `actor_type`: Type of actor to focus on (human, non-human, hybrid) - `network_scope`: Scope of network to analyze - `agency_level`: Level of agency to assess (high, medium, low) - `role_focus`: Specific roles to emphasize (mediator, intermediary, translator) - `classification_scheme`: Framework for classifying actors - `boundary_criteria`: Criteria for defining network boundaries - `methodology`: Approach to actor identification (qualitative, ethnographic, etc.) ## Examples ### Example 1: Technology Adoption Network User: "Identify actors in the adoption of electric vehicles in China" Response: Identify government agencies, car manufacturers, consumers, charging infrastructure, battery technology, environmental concerns, regulations. ### Example 2: Healthcare Network User: "Identify actors in a telemedicine implementation" Response: Identify doctors, patients, hospital administrators, medical devices, digital platforms, health data, medical protocols, regulatory bodies. ### Example 3: Policy Implementation User: "Identify actors in rural education policy implementation" Response: Identify government officials, teachers, students, parents, schools, educational technology, textbooks, internet infrastructure, local communities. ## Quality Standards - Apply generalized symmetry principle (equal consideration of human/non-human actors) - Identify both obvious and hidden actors - Consider actors at multiple scales (local, regional, global) - Assess agency rather than assuming it - Maintain focus on relational properties of actors ## Output Format - Complete actor inventory with classifications - Actor characteristic profiles - Network position mappings - Agency assessment matrices - Relationship connection maps ## Resources - Actor-Network Theory literature (Latour, Callon, Law) - Actor identification methodologies - Science and Technology Studies resources - Examples of actor identification in Chinese context ## Metadata - Compatibility: Claude 3.5 Sonnet and above - Domain: Science and Technology Studies, Sociology - Language: Optimized for Chinese research context