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EA 12FEP Codebook for LLM-Assisted Qualitative Analysis

Authors: Nelson-Zutter, Graham;

EA 12FEP Codebook for LLM-Assisted Qualitative Analysis

Abstract

A structured codebook for scoring participant testimony against Längle's 12 Fundamental Existential Prerequisites (12FEP) framework, designed for use with Large Language Models as a research instrument. Built by multi-LLM cross-validation against two primary Längle sources (2002, 2011b). Every code traces to a verbatim quote with citation. Companion to the WCET4 (2026) paper "Do You Understand?! Best Practices using Artificial Intelligence in Research (and Life)" by Graham Nelson-Zutter. Methodological refinement of the predecessor EA 4FM Codebook (built first, Oct 25–29, 2025); this 12FEP codebook simplifies the build protocol (parallel start + cross-LLM merges + LLM jury vote, vs the per-LLM iteration + self-merge + multi-LLM cross-merge + researcher selection used by 4FM) and reduces the source set (2 vs 4 Längle papers), while decomposing the four Fundamental Motivations into 12 Existential Prerequisites for finer-grained scoring. Note: LLMs (ChatGPT, Gemini, Claude) used in the methodology that produced this codebook are research instruments, not co-authors. See README and docs/lineage.md for details.

LLMs used during the methodology of producing this codebook (ChatGPT 5 Thinking, Gemini 2.5 Turbo, Claude Sonnet 4.5) are research instruments, not co-authors. They are not listed in the `creators` field, in keeping with the position of Nature, Science, JAMA, ICMJE, and WAME that AI systems cannot meet authorship criteria.

Related Organizations
Keywords

research codebook, multi-LLM cross-validation, Logotherapy, qualitative analysis, large language models, Längle, 12 Fundamental Existential Prerequisites, Existential Analysis, 12FEP

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average