Priority Leaderboard

Priorities ranked by a combination of community votes and how many source documents independently identified them.

Adjust weights

Adjust how much community votes versus cross-source evidence affects the ranking, and how much each source type contributes.

harmonica 0.5

knowledge-commons 0.5

workshop 0.5

votes 0.6

How scores are calculated

Combined Score

Each priority's rank is determined by: vote consensus x vote influence + mechanical score x (1 - vote influence)

Vote consensus = (agrees - disagrees) / total votes, ranging from -1 to +1. Priorities with no votes yet contribute 0 to this component. Use the vote influence slider above to adjust the balance -- at 0% the ranking is purely mechanical, at 100% it is purely by votes.

Mechanical (Cross-Source) Score

The cross-source component is computed from three factors:

50% mention frequency + 30% source breadth + 20% evidence depth

Mention frequency -- how many extracted chunks mention this priority, weighted by source type
Source breadth -- number of distinct source documents that independently identify this priority
Evidence depth -- number of provenance quotes directly supporting this priority

All three dimensions are min-max normalised so the top priority scores 1.0.

Source Type Weights

Each source document has a type that determines its weight in the mention frequency calculation. Use the sliders above to adjust these weights and see how the ranking changes.

Information Density

Mention frequency counts the number of document chunks that reference a priority. Longer or denser documents produce more chunks, giving them more opportunities to mention a priority. A 30-page academic paper might be split into 10+ chunks while a single Harmonica session produces 2-3 chunks. This means knowledge-commons sources may naturally dominate the mention frequency dimension.

Use the source type weight sliders to compensate -- for example, increasing the Harmonica weight or decreasing the knowledge-commons weight rebalances the influence of practitioner input versus academic research.

Source Types

knowledge-commons -- academic papers, research reports, and formal publications from the governance knowledge base
harmonica -- structured discussion outputs from Harmonica deliberation sessions with practitioners
workshop -- notes and outputs from in-person or virtual workshop sessions (Miro exports)
web -- web pages, blog posts, and other online content followed from source documents

Recalculating scores...

Creating a coherent funding strategy

1.00

1 source · CAMF, a New Architecture for Crypto Funding Systems

1 supporting quote

"CAMF was developed to address this gap by treating grants, hackathons, and accelerators as mechanisms within a shared lifecycle."

src CAMF, a New Architecture for Crypto Funding Systems · chunk 0

Sources: CAMF, a New Architecture for Crypto Funding Systems

Innovative governance designs

1.00

1 source · 7 Governance Experiments That Didn’t End in Chaos

1 supporting quote

"Not every DAO has to become a group chat with a treasury."

src 7 Governance Experiments That Didn’t End in Chaos · chunk 0

Sources: 7 Governance Experiments That Didn’t End in Chaos

Cost reduction in data processing

1.00

1 source · Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

1 supporting quote

"accuracy rate of 95% in classifying a set of 100 proposals"

src Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models · chunk 0

Sources: Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

Establishing a shared taxonomy and metrics

1.00

1 source · CAMF, a New Architecture for Crypto Funding Systems

1 supporting quote

"CAMF provides the structural model ecosystems need to turn fragmented funding activity into a coordinated, efficient, strategically aligned capital system."

src CAMF, a New Architecture for Crypto Funding Systems · chunk 0

Sources: CAMF, a New Architecture for Crypto Funding Systems

Improved governance mechanisms

0.40

1 source · A Social Choice Analysis of Optimism's Retroactive Project Funding

1 supporting quote

"We identify significant shortcomings in the current allocation system, underscoring the need for improved governance mechanisms."

src A Social Choice Analysis of Optimism's Retroactive Project Funding · chunk 0

Sources: A Social Choice Analysis of Optimism's Retroactive Project Funding

Social welfare in funding decisions

0.40

1 source · A Social Choice Analysis of Optimism's Retroactive Project Funding

1 supporting quote

"Our analysis provides a formal framework for designing improved funding mechanisms for DAOs."

src A Social Choice Analysis of Optimism's Retroactive Project Funding · chunk 0

Sources: A Social Choice Analysis of Optimism's Retroactive Project Funding

Improvement of accuracy in classification

0.40

1 source · Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

1 supporting quote

"potential of LLMs to automate data labeling tasks that depend on textual context effectively"

src Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models · chunk 0

Sources: Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

Enhancing builder retention

0.40

1 source · CAMF, a New Architecture for Crypto Funding Systems

1 supporting quote

"CAMF reduces waste, increases builder retention, aligns programs, and creates a funding system where mechanisms compound instead of resetting each round."

src CAMF, a New Architecture for Crypto Funding Systems · chunk 0

Sources: CAMF, a New Architecture for Crypto Funding Systems

Building trust in non-dilutive funding

0.40

1 source · CAMF, a New Architecture for Crypto Funding Systems

1 supporting quote

"Trust in non-dilutive mechanisms such as grants, accelerators, and hackathons is eroding."

src CAMF, a New Architecture for Crypto Funding Systems · chunk 0

Sources: CAMF, a New Architecture for Crypto Funding Systems

Effective funding allocation

0.40

1 source · A Social Choice Analysis of Optimism's Retroactive Project Funding

1 supporting quote

"The Optimism Retroactive Project Funding (RetroPGF) is a key initiative within the blockchain ecosystem that retroactively rewards projects deemed valuable."

src A Social Choice Analysis of Optimism's Retroactive Project Funding · chunk 0

Sources: A Social Choice Analysis of Optimism's Retroactive Project Funding

Coordination of funding mechanisms

0.40

1 source · CAMF, a New Architecture for Crypto Funding Systems

1 supporting quote

"CAMF provides the structural model ecosystems need to turn fragmented funding activity into a coordinated, efficient, strategically aligned capital system."

src CAMF, a New Architecture for Crypto Funding Systems · chunk 0

Sources: CAMF, a New Architecture for Crypto Funding Systems

Enhancement of voting processes

0.40

1 source · A Social Choice Analysis of Optimism's Retroactive Project Funding

1 supporting quote

"We propose improvements to the voting process by recommending the adoption of a utilitarian moving phantoms mechanism."

src A Social Choice Analysis of Optimism's Retroactive Project Funding · chunk 0

Sources: A Social Choice Analysis of Optimism's Retroactive Project Funding

Automation of proposal classification

0.40

1 source · Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

1 supporting quote

"demonstrates the effective use of Large Language Models (LLMs) for automating the classification of complex datasets"

src Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models · chunk 0

Sources: Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

Practitioner-driven governance reform

0.00