# Prompt 2b — Focused exploration of candidate variables

## Context
Same corpus as before (`corpus_nk_enterprises_2012-2025.xlsx`). My tentative research question is: *what do North Korean state media report about industrial enterprises, which sectors and regions receive attention, how often does the leadership appear, and how has this changed between 2012 and 2025?*

I am considering four variables, measured for each named enterprise in each article:

- **sector** — the branch of industry the enterprise belongs to
- **event_type** — what the article mainly reports about the enterprise
- **leader_visit** — whether, and which, senior official visited the enterprise in the reported event
- **province** — where the enterprise is located

## Task
For each of the four variables, read at least 40 articles chosen to show the variable's range and report:

1. The values the variable actually takes in this corpus, with example `doc_id`s and verbatim phrases for each value.
2. The share of articles in which the variable can be determined from the text alone, from background knowledge (for example an enterprise's well-known location), or not at all.
3. Boundary cases: pairs of articles that would be hard to tell apart (a completion ceremony that is also a visit; an article naming three enterprises).
4. Whether the article or the enterprise mention is the better unit of analysis for this variable, and why.

Also answer: are there variables I have *not* listed that the corpus clearly supports (plan-fulfilment claims, named production figures, mentions of sanctions or self-reliance)? Propose at most three.

## Output
A Markdown memo with one section per variable, each ending in a one-line recommendation (keep / redefine / drop), followed by the additional-variable proposals. Quote the text; do not invent example articles.