Seven Generations vs. Quarterly Reports: Indigenous Governance as Structural Alternative

This dataset contains publication-ready figures and reproducible code for the manuscript "Seven Generations vs. Quarterly Reports: Indigenous Governance as Structural Alternative" submitted to Academy of Management Review. DOI: 10.5281/zenodo.17905034Publication Date: December 12, 2025License: Creative Commons Attribution 4.0 International (CC BY 4.0) Contents Figures (Publication-Ready) Five figures illustrating theoretical frameworks and empirical comparisons from the manuscript: Figure1_ThreeLevelColonialism (.png, .pdf) - Visual representation of the three-level theological colonialism framework explaining why 150+ years of corporate governance reform has failed Figure2_GovernanceMechanismComparison (.png, .pdf) - Side-by-side structural comparison of Indigenous vs. settler-colonial governance across six dimensions Figure3_ReformFailureTimeline (.png, .pdf) - Timeline showing 150+ years of failed corporate governance reforms (1919-2025) and their theological foundations Figure4_AccountabilityArchitecture (.png, .pdf) - Comparison of hierarchical corporate accountability vs. distributed Indigenous accountability (Haudenosaunee example) Figure5_TemporalHorizons (.png, .pdf) - Mathematical visualization comparing corporate discount rates vs. Seven Generations principle Format Details: PNG files: 300 DPI resolution, suitable for publication and presentations PDF files: Vector format, scalable without quality loss, suitable for journal submission Code Figures.ipynb - Jupyter notebook containing complete Python code to regenerate all five figures Reference Document ipbes_global_assessment_report_summary_for_policymakers.pdf - IPBES (2019) Global Assessment summary document referenced in the manuscript README: How to Reproduce the Figures Prerequisites Google Account (free) for accessing Google Colab No local software installation required No Python experience necessary Step-by-Step Instructions Method 1: Using Google Colab (Recommended - Easiest) Download the notebook file: Download Figures.ipynb from this Zenodo deposit Open Google Colab: Go to https://colab.research.google.com Sign in with your Google account Upload the notebook: Click "File" → "Upload notebook" Select the Figures.ipynb file you downloaded OR drag and drop the file into the Colab interface Run the code: Click "Runtime" → "Run all" (or press Ctrl+F9) The code will execute automatically Progress messages will appear showing which figure is being generated All 5 figures will be generated in approximately 10-15 seconds Download your figures: Click the folder icon (📁) in the left sidebar to open the Files panel You will see 10 files (5 PNG + 5 PDF) Right-click each file → "Download" OR download all at once using Python code (see below) To download all files at once, add this code to a new cell and run it: from google.colab import files for filename in ['Figure1_ThreeLevelColonialism.png', 'Figure1_ThreeLevelColonialism.pdf', 'Figure2_GovernanceMechanismComparison.png', 'Figure2_GovernanceMechanismComparison.pdf', 'Figure3_ReformFailureTimeline.png', 'Figure3_ReformFailureTimeline.pdf', 'Figure4_AccountabilityArchitecture.png', 'Figure4_AccountabilityArchitecture.pdf', 'Figure5_TemporalHorizons.png', 'Figure5_TemporalHorizons.pdf']: files.download(filename) Method 2: Using Local Jupyter Notebook If you prefer to run the code locally: Install required software: Install Python 3.7+ from https://www.python.org Install Jupyter: pip install jupyter Install required packages: pip install matplotlib numpy Run the notebook: Download Figures.ipynb Open terminal/command prompt Navigate to download location: cd /path/to/download Start Jupyter: jupyter notebook Click on Figures.ipynb in the browser Run all cells: Click "Cell" → "Run All" Locate your figures: Figures will be saved in the same directory as the notebook Look for 10 files (5 PNG + 5 PDF) Figure Specifications Figure 1: Three-Level Theological Colonialism Framework Dimensions: 12" × 11" Placement in manuscript: After Section II.G Purpose: Illustrates core theoretical contribution showing epistemological delegitimization → economic extraction → governance exclusion with reinforcing cycles Key elements: Three hierarchical levels, causal arrows, empirical validation box Figure 2: Governance Mechanism Comparison Dimensions: 14" × 8.5" Placement in manuscript: Section V or VII Purpose: Side-by-side comparison across accountability architecture, authority derivation, decision-making structure, temporal horizon, legal framework, and performance metrics Key elements: Contrasting boxes showing structural incompatibilities with dashed arrows Figure 3: Reform Failure Timeline Dimensions: 16" × 9" Placement in manuscript: Section II.F or II.G Purpose: Shows 150+ years of failed corporate governance reforms while theological foundations remain unchanged Key elements: Timeline from 1919-2025, failure descriptions for each reform era, unchanged foundation bar, empirical evidence of Indigenous alternatives Figure 4: Accountability Architecture Comparison Dimensions: 14" × 7" (dual panel) Placement in manuscript: Section VII.A Purpose: Contrasts hierarchical corporate accountability (upward only) with distributed Indigenous accountability (multi-directional) Key elements: Left panel shows corporate hierarchy, right panel shows Haudenosaunee system with Clan Mothers, Chiefs, Faith Keepers, Warriors, Grand Council, and obligations to ancestors, land, future generations Figure 5: Temporal Horizons Comparison Dimensions: 12" × 6" Placement in manuscript: Section VII.D Purpose: Mathematical visualization showing how corporate discount rates (7%) render 30-year impacts ~13% of present value while Seven Generations maintains 100% weight for 175 years Key elements: Exponential decay curve, horizontal line at 100% for Indigenous governance, annotation boxes Technical Details Code Structure The Jupyter notebook is organized as follows: Cell 1: Import statements and global styling configuration Cells 2-6: Individual figure generation code (one cell per figure) Each cell is self-contained and can be run independently Progress indicators show which figure is generating Both PNG (300 DPI) and PDF (vector) formats generated automatically Software Dependencies matplotlib 3.3.0 or higher (visualization) numpy 1.19.0 or higher (mathematical operations) Python 3.7 or higher These packages are pre-installed in Google Colab, so no installation is needed if using the recommended Method 1. Customization Options The code can be modified to adjust: Figure dimensions (change figsize parameters) Colors (modify color definitions at top of each cell) Font sizes (adjust fontsize parameters) Output resolution (change dpi=300 parameter) File formats (add/remove savefig calls) Manuscript Context These figures support the theoretical and empirical arguments in the manuscript examining Indigenous governance structures as superior alternatives to dominant corporate and state models, particularly in environmental stewardship. The analysis draws on: Tribal environmental law (Royster et al., 2018) as primary empirical domain Decolonial theory (Alfred, 2009; Coulthard, 2014; Borrows, 2010) Global biodiversity data (IPBES, 2019) The manuscript demonstrates that Indigenous legal orders operationalize relational accountability, intergenerational equity, and distributed authority in ways that produce measurably better outcomes than settler-colonial institutions. Citation If you use these figures or code in your research, please cite: Dataset: Brown, S. M. (2025). Seven Generations vs. Quarterly Reports: Indigenous Governance as Structural Alternative - Supplementary Materials [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17905034 Manuscript: Brown, S. M. (2025). Seven Generations vs. Quarterly Reports: Indigenous Governance as Structural Alternative. Academy of Management Review [under review]. Support and Contact For questions about reproducing the figures or technical issues: Check that you're using Google Colab or have the correct Python packages installed Verify you're running the complete notebook (not individual cells out of order) Ensure your Python version is 3.7 or higher For questions about the manuscript content or theoretical framework, please refer to the published article. License This work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made Copyright © 2025 Scott M. Brown, University of Puerto Rico–Río Piedras Acknowledgments The theoretical framework and empirical analysis in this work were substantially shaped by feedback from: Dean Elizabeth Kronk Warner (Sault Ste. Marie Tribe of Chippewa Indians), University of Utah John Borrows, University of Victoria Taiaiake Alfred, University of Victoria The author acknowledges the use of AI language models (Claude, Anthropic) to assist with code generation, figure refinement, and manuscript preparation. All content was reviewed, validated, and edited by the author who takes full responsibility for the final work. Version: 1.0Last Updated: December 12, 2025Zenodo DOI: 10.5281/zenodo.17905034