# Field Calibration — <Working Title>

> Per-project domain profile. Agents read this to calibrate reviews to the field's norms.
> Populated by `/interview-me` Phase 7 or manually. Distinct from `profile.md` (personal identity).

## Field & Subfields

- **Primary field:** <e.g., Category E, Organisational Behaviour, Computer Science>
- **Subfield(s):** <e.g., Multi-Criteria Decision Making, Category D>
- **Adjacent fields:** <fields reviewers might draw from>

## Target Venues (ranked)

| Venue | Type | Ranking | Fit | Notes |
|-------|------|---------|-----|-------|
| <venue 1> | journal/conference | <CABS/CORE> | Primary | |
| <venue 2> | journal/conference | <CABS/CORE> | Fallback | |

## Common Data Sources

| Source | Type | Access | Notes |
|--------|------|--------|-------|
| <source 1> | <survey/admin/experimental/simulation> | <open/restricted/to-collect> | |

## Identification Strategies Typical in This Field

| Strategy | When used | Key assumptions | Common critiques |
|----------|-----------|-----------------|------------------|
| <e.g., RCT, DiD, simulation> | <context> | <assumptions> | <what reviewers attack> |

## Notation Conventions

| Symbol | Meaning | Field standard | Anti-pattern |
|--------|---------|---------------|--------------|
| <e.g., $D_i$> | <treatment indicator> | <standard in field> | <common mistake> |

## Seminal References

> Papers a reviewer in this field would expect to see cited.

- <Author (Year)> — <one-line contribution>
- <Author (Year)> — <one-line contribution>
- <Author (Year)> — <one-line contribution>

## Common Referee Concerns

> Typical objections reviewers raise in this subfield.

1. <e.g., "External validity of lab experiments to real organisations">
2. <e.g., "Endogeneity of AI adoption decisions">
3. <e.g., "Sensitivity to weight specification in MCDM">

## Quality Thresholds

| Dimension | Field expectation | Notes |
|-----------|------------------|-------|
| Sample size | <e.g., N > 200 for survey, N > 30 per cell for experiment> | |
| Effect size reporting | <e.g., Cohen's d expected, partial eta-squared for ANOVA> | |
| Robustness | <e.g., at least 3 alternative specifications> | |
| Replication | <e.g., pre-registration expected for experiments> | |
