JEL Survey Comprehensiveness and Balance

•
1.1k
•

Audits literature coverage, balances rival economic schools, and eliminates self-citation bias for Journal of Economic Literature surveys.

The JEL Comprehensiveness and Balance skill helps academic researchers and economics authors calibrate completeness versus selectivity when preparing literature surveys for premier outlets like the Journal of Economic Literature (JEL). It provides structured criteria to tier literature into foundational, important, confirmatory, and tangential works, while enforcing strict even-handedness by steelmanning rival camps, weighing conflicting empirical findings by credibility rather than simplistic vote-counting, and auditing self-citations to ensure author-blind neutrality.

Key Features

011,079 GitHub stars
02Corpus tiering framework to categorize literature into foundational, important, confirmatory, and tangential citations
03Rival school steelmanning to ensure fair and objective representation of conflicting theoretical camps
04Credibility-based reconciliation of conflicting empirical findings instead of vote-counting
05Self-citation bias audit to prevent over-promotion of the author's own published research
06Structured audit checklist ensuring manuscripts meet rigorous journal referee standards

Use Cases

01Drafting and refining comprehensive literature survey articles for economics journals
02Calibrating self-citations against field-level benchmarks to avoid reviewer pushback
03Auditing manuscript citations to ensure even-handed coverage across conflicting research schools