Economic Freedom of North America 2024
Bibliographic record
Abstract
This is an excerpt of Economic Freedom of North America 2024 (EFNA 2024). This report measures the degree to which governments in North America permit their citizens to make their own economic choices. It includes data from the 10 Canadian provinces, the 50 U.S. states, the 31 Mexican states and Mexico City, and the U.S. territory of Puerto Rico. EFNA 2024 contains an all-government index for comparison of all 93 jurisdictions across the three countries and three subnational indices—one for each country—for comparison of individual jurisdictions (provincial, state, and local governments) within the same country. Chapter 3 of EFNA 2024 provides an overview of the process involved in fully incorporating Puerto Rico into the report, along with an analysis of the results obtained. Puerto Rico’s poor performance in the U.S. subnational index reveals significant challenges within its public policies, particularly in areas affecting individual liberty, market competitiveness, efficiency, and innovation. Chapter 3 comments on several laws and regulations that restrict economic freedom on the Island, identifying areas where regulatory burdens impact individuals and businesses alike.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.015 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".