HCD.7:6 - Bias-Annotation

Lenses: Gov, Arch, Onto/Epist, Prag, Did. Scope: arranging actually available provider, access, tool, AI, environment, and human-check contributions for bounded capability-development use.

Recurring bias	Likely drift	Repair
provider-label bias	“Teacher,” “mentor,” “community,” or “platform” is assumed to supply all functions.	Allocate contribution-specific competence, authority, timing, capacity, and constraints.
aggregate-hours bias	A total or per-person quotient is treated as service availability.	Test feedback deadlines, concurrency, individual work, and peak periods.
automation-free-capacity bias	AI assistance is counted without prompting, checking, correction, escalation, or fallback.	Put the human-check contribution and its workload in the allocation.
peer-substitution bias	Peer participation replaces independent or competent assessment.	State the peer’s learning and support contributions and retain the required assessor result.
access-by-account bias	A login, licence, or repository membership is treated as usable access.	Verify data, permissions, interface, timing, accessibility, and task compatibility.
class-average bias	A class arrangement is assumed suitable for every participant.	Recheck personal task, participation, access, support, and accommodation conditions.
nominal-fallback bias	An unprepared substitute or delayed source is called resilient capacity.	Test the fallback against the same competence, access, timing, and authority positions.
supported-capability bias	Equipped output or supervised participation becomes a human capability claim.	Preserve support conditions and route stronger evidence to HCD.11–HCD.13.