Screenwalk Inquiry: Relational Architecture for Academic Knowledge Loops
Source: screenwalk-2610311432-academic-red-roadmap-inquiry-cycle-01 — JGWill
https://youtu.be/WvGQ2y-UBTs
Summary
William conducts a live mobile screenwalk to prepare an academic research trajectory at Concordia University, examining how personal creative practice, indigenous methodologies, and agentic systems intersect. Orchestrating iOS Shortcuts, Drafts 4, Perplexity Pro, and ChatGPT equipped with the Miadi Factory Chimera plugin, he generates an interpretive two-voice dialogue between personas Mia and Ava. The workflow treats the screen recording as an empirical knowledge artifact, testing multi-model context gathering to refine research questions while enforcing relational accountability and separating functional software from narrative exploration.
—-
Academics
Computation Arts
This field examines the intersection of digital technology and creative expression. It investigates how software development and algorithmic processes can be utilized to generate novel artistic works and interactive media experiences (35:05).
Interactive Documentary
Creative Coding
First Peoples Studies
This discipline focuses on indigenous knowledge, histories, and contemporary social realities. It emphasizes relational accountability, ensuring that research involving indigenous communities respects specific protocols, responsibilities, and permissions (35:07).
Relational Knowledge Practices
Indigenous Methodologies
Human-Computer Interaction
This area explores the design, evaluation, and implementation of interactive computing systems. It addresses how artificial intelligence can support human inquiry while maintaining transparency, human authorship, and clear ethical boundaries in complex socio-technical environments (43:09).
Reflective Design
Distributed Cognition
——
Questions
How do these systems help with research?
These systems function as active research companions within the Miadi ecosystem, rather than mere data storage tools. They support the research journey through several key functions:
• Preserving Process: Instead of only saving final conclusions, they document the "before" moments—including hesitation, correction, and surprise—through screenwalks (36:40-37:15). These serve as valuable knowledge artifacts for future review. • Connecting Information: The chronicle system links current explorations to past work (e.g., talking circles and previous meetings), allowing researchers to move between different "rooms" of inquiry (40:35-41:15). • Supporting Synthesis: Tools like Deep Diver and NotebookLM assist in organizing, comparing, and summarizing complex materials, helping to prepare research for further investigation (37:35-38:15). • Maintaining Accountability: The voice layer (Mia and Ava) acts as an instrument for reflection, challenging framing and exposing assumptions. This helps ensure that the research remains human-centered and respectful of community protocols and ethical boundaries (43:55-45:15, 48:40-49:25). • Enabling Cyclical Learning: The systems are built to support an ongoing cycle of encounter, interpretation, response, and correction, ensuring that research can be revisited, challenged, or left unfinished without being lost (48:35-49:35).
—-
Aspects
Dialectical Agent Scaffolding (00:13-01:05)
Ava and Mia frame automated agents as scaffolding rather than authorial replacements. Human creative privilege remains central, while agents manage procedural compliance, committee structures, and structural logic across institutional requirements [00:13-01:05].
Screenwalk as Empirical Knowledge Artifact (06:05-07:35)
The screenwalk records real-time development , hesitations, and tooling interactions, converting raw operational navigation into inspectable knowledge artifacts. Rather than presenting polished retrospective conclusions, it documents the generative process for subsequent multi-agent evaluation [06:05-07:35].
Multi-Model Contextual Triangulation (13:36-19:15)
The workflow submits structured prompts across Perplexity Pro and ChatGPT with the Miadi Factory Chimera plugin. It cross-references academic literature with local Chronicle episodes to map research territories without conflating hypothetical frameworks with implemented reality [13:36-19:15].
Five-Fold Accountability Framework (38:55-40:20)
The inquiry operationalizes five relational accountability domains: Story, Stewardship, Engineering, Evaluation, and Continuity. This taxonomy ensures synthetic dialogue maintains verifiable provenance, respects indigenous knowledge protocols, and prevents seductive AI prose from masking unverified system claims [38:55-40:20].
End-results and Core Aspect
Core Aspect — Relational Screenwalk Inquiry Loop (24:26-25:15)
The end-result implements an iterative screenwalk loop where interactive inquiry captures live problem-solving, passes context across complementary reasoning models, and produces a dramatized voice layer that surfaces tensions, verifiable evidence, and unanswered research questions without premature closure [24:26-25:15].
Results
- Automated Dialogue Generation and Auditory Inspection (33:23-35:30): Synthesizing structured prompts into a two-persona debate between Mia and Ava allowed immediate acoustic review through mobile text-to-speech, evaluating whether technical explanations preserved critical inquiry rather than flattening complexity [33:23-35:30].
- Multi-Episode Chronicle Cross-Referencing (30:19-30:33): Connecting current academic preparation to historical recordings (Episodes 044, 067, 120, and 332) linked existing research assets to prospective university themes, anchoring software practice into an evolving academic roadmap [30:19-30:33].
- Granular Capture of Epistemic Distinctions (43:20-44:10): Directly capturing verbatim insights into Drafts 4 separated the academic proposal, documentary screenwalk practice, and relational software ecosystem, preventing distinct operational layers from collapsing into ungrounded claims [43:20-44:10].
—— @stcgoal bellow other temp section on Academic to consolidate with the existing one (from Gemini on the web) ——
Academics
Computation Arts
This field focuses on the integration of digital technology and creative practice (0:35:05). It explores how software development informs artistic expression and interactive design within academic research contexts.
Interactive Documentary
Research into narrative structures that allow for non-linear engagement and participant-driven storytelling.
Creative Coding
Practical application of software tools to generate original art and support digital media productions.
First Peoples Studies
This area centers on indigenous knowledge, protocols, and relational research methodologies (0:35:07). It emphasizes the importance of community accountability and ethical engagement when integrating diverse cultural perspectives into scholarly inquiry.
Indigenous Methodologies
Frameworks for conducting research that respect traditional protocols and community-specific ways of knowing.
Relational Knowledge Practices
Studies focusing on how knowledge is shared and maintained through connections between people, communities, and environments.
Digital Humanities
Examines the role of artificial intelligence and digital tools in supporting, preserving, and understanding humanistic inquiry (0:35:12). It documents the process of research creation using artifacts like screenwalks and chronicles.
Research Creation
An approach where artistic practice itself is considered a form of academic inquiry and knowledge production.
Human-Computer Interaction
The study of how researchers interact with agent-supported systems to analyze information and manage creative workflows.