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Record W2076289410 · doi:10.1057/jit.2011.32

The Dynamics of Client-Consultant Relationships: Exploring the Interplay of Power and Knowledge

2012· article· en· W2076289410 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Information Technology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsMcGill UniversityHEC Montréal
Fundersnot available
KeywordsPossession (linguistics)Knowledge managementComputer sciencePower (physics)Set (abstract data type)Strategic information systemSoft systems methodologyInformation systemManagement information systemsEngineering

Abstract

fetched live from OpenAlex

In this paper, we investigate the dynamics of client-consultant relationships and analyze how power and knowledge are shared and negotiated between consultants and clients during the implementation of configurable technologies. Empirical evidence is provided by three case studies representing three classic types of client-consultant relationships. We draw on two complementary perspectives: possession view (i.e., power and knowledge are based on resources that can be owned or controlled by individuals) and practice view (i.e., power and knowledge are relational in nature and exercised in action). The paper develops a framework that shows that power and knowledge are closely intertwined and that the possession and practice views are complementary in understanding configurable technology projects. The paper also demonstrates the importance of the initial set-up of the project and how knowing/powering mechanisms can reinforce or change implementation trajectories, which, in turn, can affect project results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.323
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it