orm_bridge: Bridge Article Detection and Priority Ranking

View source: R/orm_bridge.R

orm_bridgeR Documentation

Bridge Article Detection and Priority Ranking

Description

orm_bridge() identifies bridge articles - studies that connect technical science with real occupational prevention. These are the highest-value articles for an occupational health practitioner because they have already done the translation from laboratory to workplace.

A bridge article simultaneously mentions:

  1. Technology/process (what was studied)

  2. Hazardous agent (what risk was characterised)

  3. Workers (real people in real workplaces)

  4. Exposure measurement (quantitative data)

  5. Prevention/recommendation (actionable output)

Articles meeting 4 or 5 criteria are classified as strong bridges. Articles meeting 3 criteria (must include workers + measurement) are partial bridges. Others are technical studies.

Usage

orm_bridge(
  mx,
  text_col = "abstract",
  lang = getOption("orisma.lang", "en"),
  verbose = getOption("orisma.verbose", TRUE)
)

Arguments

mx

An orisma_matrix object, ideally after running orm_ass().

text_col

Character. Text field to analyse. Default "abstract".

lang

Character. "en" or "es".

verbose

Logical.

Value

The orisma_matrix object with added columns: bridge_score (0-5), bridge_type (Strong/Partial/Technical), bridge_criteria (which criteria were met).


orisma documentation built on May 19, 2026, 1:07 a.m.