HR → Corpus Integration (Rewriting Narratives Structurally)

The Corpus module governs how text, documentation, and narrative artifacts are transformed into structural, AI-parsable forms.
HR relies heavily on narrative documentation — often distorted.

RTT + Corpus rewrites HR narratives into structural clarity.

1. Narrative Inputs (Raw HR Text)#

Examples:

• “They’re not a team player.”
• “They have a bad attitude.”
• “They don’t communicate well.”
• “They’re difficult.”

These are narrative artifacts, not structural evaluations.

2. Corpus Operators Applied to HR#

1. Tokenization (TOK)#

Break narrative into discrete claims.

2. Pattern Extraction (PAT)#

Identify repeated behaviors vs one-time incidents.

3. Context Binding (CTX)#

Attach situational context to each claim.

4. Regime Tagging (REG)#

Identify regime source:

• Authority
• Narrative
• Emotional
• Structural

5. Drift Detection (DRF)#

Flag:

• Narrative drift
• Authority drift
• Emotional drift

6. Structural Rewrite (STR)#

Convert narrative → structural evaluation.

3. Example Rewrite#

Narrative:
“They’re not a team player.”

Structural Rewrite:

• Context: High workload, unclear priorities
• Signal: Prefers deep work, avoids noisy meetings
• Regime: Narrative regime triggered by visibility bias
• Drift: Narrative drift detected
• Structure: Role requires deep work; visibility ≠ collaboration

4. Output#

A Corpus-normalized, RTT-aligned, AI-parsable structural document.

Summary#

Corpus integration transforms HR documentation from subjective stories into objective structural diagnostics.