hired.alignment.rubric

Deterministic bucket assignment — the two-axis rubric in code.

The judgment (transfer distance, trainability, evidence) is supplied by the analyst (Claude or an injected LLM). This module turns those judgments into a Bucket deterministically, so the classification is auditable and reproducible. It also applies the AI-leverage modifier: a candidate who works with armies of AI agents closes codified / knowledge-breadth gaps faster — but not tacit-judgment or enduring-aptitude gaps.

See misc/docs/DESIGN.md §7.

Functions

apply_ai_leverage(closeability, ai_leverage, ...)	Soften a codified gap's closeability by the candidate's AI leverage.
assign_bucket(record)	Assign the alignment bucket for a record, or None if it should be a clarifying question instead.
classify(record)	Fill gap_size and bucket (and needs_clarification) in place.
compute_gap_size(required_level, candidate_level)	Residual gap, floored at zero.

hired.alignment.rubric.apply_ai_leverage(closeability, ai_leverage, *, skill_type, is_tacit=False)

Soften a codified gap’s closeability by the candidate’s AI leverage.

Tacit/soft gaps and structurally-hard gaps are never softened — AI agents extend breadth of codified knowledge, not judgment or enduring aptitude.

Return type:

Closeability

>>> apply_ai_leverage(Closeability.REQUIRES_EXPERIENCE, AILeverage.HIGH,
...                    skill_type=SkillType.TECHNICAL)
<Closeability.LEARNABLE: 'learnable'>
>>> apply_ai_leverage(Closeability.REQUIRES_EXPERIENCE, AILeverage.HIGH,
...                    skill_type=SkillType.SOFT_SKILL)
<Closeability.REQUIRES_EXPERIENCE: 'requires_experience'>

hired.alignment.rubric.assign_bucket(record)

Assign the alignment bucket for a record, or None if it should be a clarifying question instead.

Returns None when the requirement is UNKNOWN on an OPEN field — that routes to elicitation rather than being scored as a gap (the “don’t assume absence” rule). UNKNOWN on a CLOSED field is treated as a real gap.

Return type:

Bucket | None

hired.alignment.rubric.classify(record)

Fill gap_size and bucket (and needs_clarification) in place.

Returns the same record for convenience.

Return type:

RequirementRecord

hired.alignment.rubric.compute_gap_size(required_level, candidate_level)

Residual gap, floored at zero.

Return type:

int