Recoding labels temporarily#

Sometimes you want to improve your factor labels (cause/effect text) without changing the original data. You might want to:

• Experiment safely — try different prompts or AI settings without overwriting what you coded
• Iterate — run factor relabelling several times, refining the prompt each time, until you’re happy
• Compare — switch between original and improved labels to see the difference
• Review before committing — only merge into the main cause/effect fields when you’re satisfied

The app supports this with two features that work together: Temporary Cause/Effect Fields (a filter) and Target suffix (in AI Answers → Factors).

How it works#

1. Create temporary columns. When you run factor relabelling, you can choose a “Target suffix” (e.g. _temp or _version1). Instead of overwriting cause and effect, the AI writes to cause_temp/effect_temp (or cause_version1/effect_version1). Your original labels stay untouched.

2. Show them on the map. Add the Temporary Cause/Effect Fields filter in the Filter Links tab. Point it at those same columns (e.g. cause_temp, effect_temp). The map will display the recoded labels instead of the originals.

3. Iterate. With the filter active, you can run factor relabelling again. The AI will work on the current temp labels (what you see on the map), not the originals. So you can refine prompts, fix odd results, and run again — all without touching the underlying data.

4. When you’re happy, you can either leave the temp columns as a separate view for analysis, or merge them into the main cause/effect fields if you want to make the changes permanent. The easiest way to do that is with Save As Currently Filtered.

Summary#

• Why: Experiment, iterate, and compare label improvements without changing your original coding.
• How: Use a Target suffix when running factor relabelling, then add the Temporary Cause/Effect Fields filter to display those labels on the map. You can then run factor relabelling again to refine the temp labels further.