Intra-organizational Selection: Phenomenon and Its Behavioural and Cultural Determining Factors
Bibliographic record
Abstract
The aim of this paper is to provide a conceptual scheme concerning intra-organizational determinants of primary selection. The authors present the evolutionary theory as appropriate background for the research approach. Consequently, this paper, stressing the importance of selection mechanism, reviews evolutionary achievements. There is also presented the review of routine approaches, as routines constitute the object of selection. Then, authors provide the proposition based on the theoretical review concerning the role of managerial and cultural selectors in organizational evolution, especially in the process of routines selection. This paper contributes to the body of research on the routines, evolutionary theory, behavioural and cultural stream of research. Thus, it explores the evolutionary approach from the perspective of primary selection and its determinants. The authors provide an extension to the selection logic as for behavioural and cultural determinants of primary selection. Due to practitioners, they are recommended to consider personal behavioural characteristics and cultural ones as either hindrance or enablers of changes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".