Dependency Reading (Author-Network Bridge)
Re-pool with cluster-robust variance for studies produced by the same research team, from an author-network run.
- Family
- Synthesis
- Engine
- Lacuna native (Python)
When to use it
Use it after a base run, to read one body of evidence through a second lens.
Cross-head readings of the SAME frame: each bridge re-reads the attached effects table through another family's run — time, theme, dependency or citation.
Figures it produces
- Forest plot
Limitations and scope
- Results are conditional on the studies, corpus and parameters you supply, and on the chosen model. The analysis summarises the evidence as reported; it does not establish causation.
- Every figure carries its source, and every run is reproducible bit-for-bit from the same inputs, parameters and engine version.
In this family
- Cumulative Reading (Time Bridge)Re-estimate the pooled effect after each study in year order — when the evidence first became conclusive.
- Theme Subgroup Reading (Topic-Model Bridge)Re-pool as a subgroup analysis whose grouping variable is each study's theme, taken from a topic-model run.
- Evidence-Base Diagnosis (Citation Bridge)Read the body of evidence behind a meta-analysis descriptively, matched to the project's bibliographic records.
Run this analysis
The definition above is open. The live engine, its parameters and the provenance-sealed report run inside your workspace.