Management canon — not an AI paper
Why this work is here
This work belongs to the management canon because the B1 corpus evidence passed the ruled invocation test. The invocation statements below remain separate from the source’s own arguments; they are not claims about AI use.
Invocation endpoint ceiling: B1 establishes the source-level invocation records below but does not assert a public paper endpoint where its evidence bundle supplies none.
Corpus-evidenced invocation support
Within the adjudicated three-family local corpus, abbott-1988 has 1 weighted invocation occurrence(s) (B1-L1=1; B1-L2=0; B1-L3=0).
local-corpus-extraction · confidence: highWithin the same corpus and the declared logical-document map, abbott-1988 appears in 1 citing document(s) (B1-L1=1; B1-L2=0; B1-L3=0).
local-corpus-extraction · confidence: highFrom the hash-bound evidence releases
Recorded source arguments
Only separately evidenced source-argument claims appear here. B1 itself adds none; relevance to AI × MOS is carried only by the invocation relationship and is never retrofitted as an AI claim.
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (9)
- When Knowledge Work and Analytical Technologies Collide: The Practices and Consequences of Black Boxing Algorithmic Technologies
- Knowing Enough to Be Dangerous: The Problem of “Artificial Certainty” for Expert Authority When Using AI for Decision Making and Planning
- How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work
- The Axiology of AI Agents: How Human-AI Interaction Transforms Values from Espoused to Enacted
- What We Do in the Shadows: How expert workers reclaim control in digitalized and centralized organizations through ‘stealth work’
- Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality
- ‘Let Me Explain’: A Comparative Field Study on How Experts Enact Authority Over Clients When Facing AI Decisions
- Interlacing Situated and Algorithmic Modes of Knowledge Work: A Workplace Jurisdiction Perspective
- Accommodating Machine Learning Algorithms in Professional Service Firms
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- For abbott-1988, 1 weighted invocation(s) in 1 logical citing document(s) come from related local B1 family/families B1-L1; they are not independent-literature or field-wide citation-frequency evidence.
- These corpus-local invocation counts are source-argument evidence, not field-wide citation-frequency evidence.
- Primary occurrences include ruled derivative observations; the FA-R7 count removes the identified duplicates.
Source independence
For abbott-1988, 1 weighted invocation(s) in 1 logical citing document(s) come from related local B1 family/families B1-L1; they are not independent-literature or field-wide citation-frequency evidence.