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Record W2089070161 · doi:10.1002/sres.570

Uncovering system teleology: a case for reading unconscious patterns of purposive intent in organizations

2003· article· en· W2089070161 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

VenueSystems Research and Behavioral Science · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTeleologyUnconscious mindNonprobability samplingSociologyEpistemologyReading (process)PsychologyPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

Abstract Contemporary organizations are teleological—purposive—structures, designed to fulfil myriad societal needs. The purposive efforts of any organization are shaped by knowledge. Organizational knowledge includes both conscious and unconscious dimensions. This paper argues that a similar duality applies to organizational teleology. Organizational behaviour unfolds in service to consciously understood teleological aims (such as corporate strategies and business plans) and also unconscious teleological aims (that are undesigned or emergent), which are subtler to detect. Said differently, organizational behaviour is always purposive. Many of the intentions driving organizational behaviour are publicly understood and sanctioned; others are less well understood and unsanctioned. To the degree that some purposive behaviour in organizations remains unconscious, it may detract resources from managerial objectives and confound organizational change efforts. Drawing from facets of systems theory, this paper briefly discusses collective, purposive, and patterned characteristics of unconscious behaviour that may help practitioners to detect and respond to it. Copyright © 2003 John Wiley & Sons, Ltd.

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)0.017
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.279
GPT teacher head0.495
Teacher spread0.216 · 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