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The Life Cycle of an Internet Firm: Scripts, Legitimacy, and Identity

2009· article· en· W2168978076 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

VenueEntrepreneurship Theory and Practice · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsLegitimacyIdentity (music)Scripting languageOrganizational identityPublic relationsInstitutionalisationAction (physics)SociologyConstruct (python library)BusinessSocial psychologyPolitical scienceOrganizational commitmentPsychologyLawComputer science

Abstract

fetched live from OpenAlex

We study, longitudinally and ethnographically, the construction of legitimacy and identity during the life cycle of an entrepreneurial Internet firm, from inception to death. We utilize organizational scripts to examine how social actors enact identity and legitimacy, maintaining that different scripts, both contested and consent–oriented, become the source of action for acquiring legitimacy and creating organizational identity. We show that scripts enable entrepreneurs and other social actors to invoke a set of interactions within and outside the organization. Scripts construct values and interests, form social bonding and consented actions, and eventually shape and reshape the individual and institutional contexts of identity and legitimacy. We found that the strategic action of organizational members in pursuing and enacting their preferred scripts depends on their position and role in the organization. We observed that the institutionalization of simultaneously competing scripts created a path–dependent process leading to organizational conflict and eventual failure.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
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 head0.032
GPT teacher head0.350
Teacher spread0.317 · 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