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Record W2030554703 · doi:10.1108/09534810710760054

Knowledge workers in the in‐between: network identities

2007· article· en· W2030554703 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 Organizational Change Management · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNegotiationAgency (philosophy)SociologyOriginalityNarrativeArgument (complex analysis)Public relationsIdentity (music)Value (mathematics)Position (finance)Knowledge managementQualitative researchPolitical scienceBusinessSocial science

Abstract

fetched live from OpenAlex

Purpose This paper seeks to examine the identities and subjectivities of independent knowledge workers who contract their services to organizations. Two questions are addressed: who are these enterprising knowledge workers, in terms of how they understand and position themselves relative to organizational structures, practices and social relations in their work as “inside outsiders”? How do they recognize their own constitution, and what spaces for agency are possible? Design/methodology/approach The discussion draws upon a qualitative study of 18 self‐employed consultants in organizational change, analysing their articulations as ongoing constitutions within prescribed discourses and cultural technologies. Semi‐structured in‐depth interviews were analysed inductively to determine themes and silences among the narratives. Findings The argument shows how these subjectivities emerge from in‐between spaces, both inside and outside organizations. As they negotiate these spaces, they exercise agency by resisting control while building connections. These articulations are described as “network identities”. Originality/value The paper concludes with implications for organizations employing or contracting with such individuals. Suggestions for managers involve enabling more project structures, negotiating boundaries and purposes more clearly, providing more flexible conditions and facilitating more integration of these knowledge workers with other employees before, during and following innovative project activity.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.041
GPT teacher head0.256
Teacher spread0.215 · 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