Job Ad Analysis Toolkit (JAAT) Evidence Dashboard
Job postings and new open-source language models let us test old maps of work and build new maps. This dashboard summarizes public aggregate evidence from the NLx corpus and USAJOBS job postings. The main findings are A. A New Map of Work, B. Analyzing the Mismatch, C. Finding Emerging Skills, and D. Dynamic Maps, with corpus-specific drilldowns under NLx corpus and USAJOBS.
Use the profiler pages to inspect occupations, industries, agencies, tasks, skills and concepts. For the current paper’s figures and benchmarks, visit the manuscript companion.
Corpus At A Glance
NLx approx. source postings
NLx corpus monthly active jobs
NLx corpus O*NET tasks extracted
USAJOBS raw postings
USAJOBS monthly active jobs
USAJOBS O*NET tasks extracted
The NLx source-posting count is an approximate distinct-posting scale before monthly expansion. Dashboard files contain aggregate evidence only; raw NLx posting text is not public. Monthly active jobs are posting-month rows, so one posting can contribute to more than one month.
Finding Map
Job-ad-derived occupation-task pairs, agreement evidence, migration structure, and task-flow examples. B. Analyzing the Mismatch
Provisional combined-corpus evidence on where O*NET task homes look too narrow or surprising. C. Finding Emerging Skills
Validation evidence for posting-derived AI task and skill statements as an adaptive frontier map. D. Dynamic Maps
Movie views of LLM-validated task-pair diffusion and posting-derived related-occupation maps.
Drill-Down Profiles
National aggregate evidence from the NLx corpus for tasks, Work Activities, skills, AI signals, and concepts. USAJOBS summary
Federal aggregate evidence and profile entry points. USAJOBS occupation profile
Federal occupation task signatures and supporting concept profiles. USAJOBS agency profile
Agency task signatures, Work Activities, skills, and posting context.
Methods and Audit
Definitions, denominator conventions, extraction logic, and methodological notes used across the dashboard. What Postings And Taxonomies Can Say
A compact caveat page on taxonomy coverage, measurement limits, and interpretation. Audit Trail
Reproducibility package, agreement workbooks, public inputs, checks, and inspection paths for headline results.