Repair Sequence¶
Resolve any conversational trouble by locating it in a small grid — trouble source, initiation, completion, crossed by who repairs (self or other) and where in the turn-sequence — and read the likely path to resolution off the preference for self-repair.
Core Idea¶
A repair sequence is the orderly local routine by which participants in conversation identify and resolve a problem of hearing, speaking, or understanding without halting the talk. Developed by Schegloff, Jefferson, and Sacks, it has three positions — trouble source, repair initiation, repair completion — cross-classified by two parameters: agency (self or other) and position (same turn, transition space, next turn, or third position). It is a local feedback loop maintaining shared understanding turn-by-turn.
Scope of Application¶
The framework lives across conversation analysis and its sociolinguistics; its substrate is same-channel, time-pressured, sequentially organized talk-in-interaction.
- Ordinary conversation — the home turf where the skeleton and preference asymmetry were documented.
- Institutional interaction — classroom, medical, courtroom, and service talk with asymmetric roles.
- Sign-language interaction — repair documented in signed conversation, establishing modality-generality.
- Cross-linguistic studies — comparative work treating the preference ordering as structural.
Clarity¶
Naming the repair sequence separates repair from loose correction: a word-search or a bare "huh?" counts, while many substantive corrections fall outside the organization. Its sharpest distinction is between two questions ordinary talk fuses — who notices the trouble, and who fixes it — cross-classified by the agency and position parameters. That decomposition is what makes the field's central preference asymmetry even statable.
Manages Complexity¶
A bewildering heap of micro-events — a "huh?", a mid-word restart, a stalled word-search, "do you mean X or Y?" — resolves into one three-position skeleton located in a small finite grid of agency-by-position cells. The analyst stops asking "what sort of thing is happening?" and reads off two coordinates, who and where, that fix the repair's type and project its likely completion.
Abstract Reasoning¶
The framework licenses a two-coordinate classification fixing a repair's type from independent reads of agency and position, a conversion of description into prediction (position of initiation projects the kind of completion; the preference asymmetry projects which cells conversation reaches for first), a boundary move separating repair from correction, and a generality move treating the regularity as structural across languages rather than cultural.
Knowledge Transfer¶
Within conversation analysis the sequence transfers as full mechanism — the skeleton, the agency-by-position grid, the preference asymmetry, and the position-predicts-completion projection carry intact, its robustness across English, Tzeltal, Korean, and sign languages marking it as structural. Beyond talk it factors cleanly into parents that travel — feedback, error_correction, and turn_taking/protocol — which air-traffic readbacks and chatbot clarification turns genuinely instantiate. The typology's own cargo (self/other agency, the position grid, the face-preserving preference) stays home-bound; invoking "a repair sequence" elsewhere borrows the vocabulary while the mechanism is the general feedback-and-error-correction one.
Relationships to Other Abstractions¶
Current abstraction Repair Sequence Domain-specific
Parents (4) — more general patterns this builds on
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Repair Sequence is a kind of Communication Repair Prime
A repair sequence is the conversation-analysis species of communication repair, specialized by an agency-by-position grid and a preference for self-repair.
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Repair Sequence is part of Asymmetry Prime
Repair sequence contains an agency asymmetry because self- and other-repair positions are not interchangeable and are reached with a stable preference ordering.
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Repair Sequence is part of Decomposition Prime
Repair sequence contains a decomposition that separates trouble source, initiation, and completion and cross-classifies them by agency and sequential position.
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Repair Sequence presupposes Turn Taking Prime
Repair sequence presupposes turn-taking because its positions and agency classes are defined relative to turns, transition spaces, and who holds the conversational floor.
Hierarchy paths (15) — routes to 9 parentless roots
- Repair Sequence → Communication Repair → Coordination → Concurrency
- Repair Sequence → Asymmetry
- Repair Sequence → Decomposition
- Repair Sequence → Communication Repair → Channel
- Repair Sequence → Communication Repair → Feedback
- Repair Sequence → Communication Repair → Coordination → Dependency
- Repair Sequence → Turn Taking → Mutual Exclusion → Coordination → Concurrency
- Repair Sequence → Turn Taking → Allocation → Scarcity → Constraint
- Repair Sequence → Communication Repair → Coordination → Task Interdependence → Dependency
- Repair Sequence → Turn Taking → Mutual Exclusion → Coordination → Dependency
- Repair Sequence → Communication Repair → Coordination → Mobilization → Latent Realizable Capacity
- Repair Sequence → Turn Taking → Mutual Exclusion → Coordination → Task Interdependence → Dependency
- Repair Sequence → Turn Taking → Mutual Exclusion → Coordination → Mobilization → Latent Realizable Capacity
- Repair Sequence → Communication Repair → Coordination → Task Interdependence → Network → Reservoir-Flux Network → Conservation Laws → Invariance
- Repair Sequence → Turn Taking → Mutual Exclusion → Coordination → Task Interdependence → Network → Reservoir-Flux Network → Conservation Laws → Invariance
Neighborhood in Abstraction Space¶
Repair Sequence sits in a sparse region of the domain-specific corpus (94th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Unclustered & Miscellaneous (309 abstractions)
Nearest neighbors
- Epiphany — 0.82
- Error-Message Opacity — 0.81
- Operational-Pause Mismanagement — 0.81
- Relative Privation — 0.80
- Gell-Mann Amnesia Effect — 0.80
Computed from structural-signature embeddings · 2026-07-12