LLM Orchestration Results
What is Agency? A View from Autonomy Theory
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Experiment Goal
The researcher is conducting entity extraction to map and analyze the conceptual landscape around agency and autonomy theory, identifying key entities, concepts, and their relationships within this philosophical domain. The goal is to understand how different concepts relate to each other hierarchically and categorically, and to discover patterns in how these theoretical constructs are used and interconnected in contemporary philosophical discourse about agency.
Term Usage Patterns
Entity Extraction Analysis: Agency and Autonomy Theory
Document Overview
The analysis covers a single 2023 document titled "What is Agency? A View from Autonomy Theory" by Louis Virenque and M. Mossio [Doc 485: metadata]. The document contains 26,374 characters across 30 paragraphs with an average length of 874 characters per paragraph [Doc 485: segment_paragraph].
Entity Distribution and Categories
The spaCy entity extraction identified 1,181 total entities across 16 distinct types [Doc 485: extract_entities_spacy]. The distribution reveals a heavily concept-focused discourse:
Conceptual Entities (838 instances, 71% of total)
The CONCEPT category dominates the entity landscape, representing theoretical constructs central to agency and autonomy theory [Doc 485: extract_entities_spacy]. This concentration indicates dense philosophical terminology and abstract theoretical discussion.
Human Elements (91 PERSON entities)
Personal names appear frequently, suggesting extensive citation of philosophical authorities and theoretical contributors [Doc 485: extract_entities_spacy]. This pattern aligns with philosophical discourse that builds upon established scholarly traditions.
Temporal References (85 DATE entities)
Substantial temporal marking indicates historical contextualization of theoretical developments [Doc 485: extract_entities_spacy]. The frequency suggests chronological organization of philosophical positions or historical analysis of concept evolution.
Quantitative Elements (53 CARDINAL, 13 ORDINAL)
Numerical references appear regularly, potentially indicating systematic categorization, enumerated arguments, or quantified theoretical distinctions [Doc 485: extract_entities_spacy].
Institutional Context (51 ORG entities)
Organizational references provide academic and institutional grounding for the theoretical discussion [Doc 485: extract_entities_spacy].
Definition Extraction Results
The definition extraction process analyzed 198 sentences and identified only 1 formal definition using copula patterns [Doc 485: extract_definitions]. This low yield (0.5% of analyzed sentences) suggests the document employs implicit definitional strategies rather than explicit "X is Y" formulations. The single identified definition used copula structure, indicating traditional definitional form where present [Doc 485: extract_definitions].
Linguistic Processing Characteristics
The period-aware embedding system classified the text as "modern_1950_2000" category with 50% confidence, though the actual publication date is 2023 [Doc 485: period_aware_embedding]. This classification suggests the document employs established philosophical vocabulary rather than contemporary technical terminology. The system processed 5,000 characters of the full 26,374-character text due to truncation limits [Doc 485: period_aware_embedding].
Entity Type Diversity
The 16 distinct entity types span multiple domains [Doc 485: extract_entities_spacy]:
- Geographic references (26 GPE, 1 LOC)
- Cultural/demographic markers (11 NORP)
- Creative works (5 WORK_OF_ART)
- Legal references (1 LAW)
- Economic elements (1 MONEY)
- Physical measurements (1 QUANTITY)
- Events and facilities (1 EVENT, 1 FAC)
- Commercial products (2 PRODUCT)
This diversity indicates interdisciplinary engagement extending beyond pure philosophical discourse into empirical, legal, and cultural domains.
Processing Methodology
The entity extraction employed spaCy's en_core_web_sm model with noun chunk enhancement [Doc 485: extract_entities_spacy]. Definition extraction used pattern matching combined with dependency parsing, applying a 0.45 confidence threshold without classifier models [Doc 485: extract_definitions]. These methodological choices prioritize precision over recall in identifying formal theoretical constructs.
Document Processing Results
| Document | Processing Operations | Status |
|---|---|---|
|
What is Agency? A View from Autonomy Theory
Louis Virenque, M. Mossio
(2023)
v2
|
segmentation: paragraph
definitions: pattern
entities: spacy
embeddings: period_aware
|
4/4 |
Detailed Operation Output
Segmentation: paragraph
executedDefinitions: pattern
executedEntities: spacy
executedEmbeddings: period_aware
executedStrategy Details
For this entity extraction experiment focused on mapping the conceptual landscape of agency and autonomy theory, I recommend a four-tool approach: (1) segment_paragraph to create meaningful text chunks that preserve conceptual coherence within paragraphs, which is crucial for philosophical discourse analysis; (2) extract_entities_spacy to identify key philosophical concepts, theorists, and theoretical constructs that form the core entities in this domain; (3) extract_definitions to capture how agency, autonomy, and related concepts are defined and explained, which is essential for understanding hierarchical and categorical relationships between concepts; and (4) period_aware_embedding to enable semantic analysis of how these concepts relate to each other in the contemporary philosophical discourse context. This combination prioritizes the experiment's core needs (entity and definition extraction) while providing the structural segmentation and semantic analysis capabilities needed to understand conceptual relationships and patterns in philosophical theory.