Academic & Research CTR™ Templates

Get the right attribution template for your scholarly work in just a few clicks

Research shows that academic collaboration varies dramatically in how contributions are valued. A data-driven empirical study emphasizes methodology and evidence gathering, while theoretical papers prioritize conceptual innovation. The CTR™ Framework adapts to these differences, providing context-specific attribution that aligns with academic standards while maintaining transparency in human-AI collaboration.

Choose Your Template Category

What type of research article?

Select the option that best matches your work

Empirical Study

Data-driven research with experiments or surveys

Theoretical Paper

Conceptual frameworks or philosophical arguments

Mixed Methods

Combines empirical data with theory

Case Study

In-depth analysis of specific examples

How many people contributed?

This helps us format your CTR™ correctly

Just Me

Solo work

2 People

Co-authored

3-5 People

Small team

6+ People

Large collaboration

How many AI systems helped?

Count unique generative AI tools (like ChatGPT, Claude, etc.)

1 AI System

Used one AI tool

2 AI Systems

Used two different AI tools

Your CTR™ Template

Customized for your specific collaboration

Your Context-Specific Weightings:

*These are suggested baseline weightings based on research. Adjust as needed for your specific collaboration.

CTR™ is currently designed for personal use with generative LLM AI systems. Contact for integrated commercial use licensing.

Research-validated attribution for human-AI collaboration, developed by Bonnie Dunigan. Systematic, contextual attribution that supports honest collaboration while preserving authentic human expertise.

The Framework

CTR™ Workspace

Origins

Questions, comments, or found an error? Let us know

© 2025 Bonnie Dunigan. All rights reserved.

Content Contribution Transparency Rating™ Framework © 2025 by Bonnie Dunigan is licensed under CC BY-NC-SA 4.0

Website Development
CTR™: Bonnie Bonnie Dunigan 55% | AI Claude 45%
Bonnie provided creative direction, UX strategy, and design vision. Claude handled HTML/CSS development and technical implementation under strategic direction.
This CTR™ brought to you by Claude.
LONG FORM VERSION
CTR™: Bonnie Bonnie Dunigan 55% | AI Claude 45%

Collaboration Story: Bonnie provided creative direction, user experience strategy, and design vision throughout iterative development sessions. She guided aesthetic decisions, navigation structure, content organization, and professional presentation while maintaining creative control.

Claude handled HTML/CSS development, responsive design implementation, interactive features, and technical architecture under Bonnie's strategic direction.

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Your personal CTR© workspace. take notes. save scripts. create your CTR©.

my ctr workspace

notes on: social media examples

Typing Sound:
Cushioned
Mechanical
Minimal
Satisfying

take note.

👤 Personal Micro-signatures

Upload your personal or brand icons (auto-resized to 16x16 for proper display):

Drag & drop images here or click to browse
PNG, JPG, SVG with transparent background recommended

🤖 AI Collaboration Icons

Choose an icon to represent AI collaboration:

Scripts for setting up collaboration boundaries and expectations with AI assistants.
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Copy templates from boundary setup pages to get started!
Scripts with instructions on how to use and measure the CTR framework with AI.
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Copy templates from instruction pages to get started!
Scripts for formatting your published content with proper CTR attribution.

🤖➡️✨ Paste from AI & Apply Micro-signatures™

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🤖
Workflow:
1. Copy template from page → Paste to AI
2. AI personalizes with your details
3. Paste AI response here → Apply micro-signatures
4. Edit if needed → Copy for publishing