A Social Psychological Perspective on the Forming of Path Dependence in Old Industrial Regions —The Case of Shanxi Province in China
Bibliographic record
Abstract
Among so many research literatures in industrial cluster, there lacks still exploration to the possible risks of industrial cluster. Path dependency, which is absolutely not only a phenomenon in technological development, existing not only in an organization but also in the process of cluster development, has been neglected at certain degree in developing regional cluster. The aim of the paper is to address the question of how the micro foundation of path dependence can be explained through a social psychological perspective. By referring to the two concepts from social psychology, selective attention and identity, this paper illustrates the psychological factors leading to the forming of path dependence in industrial cluster. Key words: industrial cluster, path dependency, regional identity, selective attention, social psychology Resume: Parmi de nombreux documents de recherches sur le bloc industriel, il manque encore des explorations sur les risques possibles du bloc industriel. La voie de dependance, qui n’est pas seulement un phenomene dans le developpement technologique, existant non seulement dans une organisation mais aussi dans le processus du developpement du bloc, a ete negligee dans certaines mesures dans le developpement du bloc industriel regional. L’objectif de cet article est d’ exposer comment la micro-fondation de la voie de dependance peut etre expliquee dans une perspective sociale et psychologique. Se referant a deux concepts de la psychologie sociale-attention selective et identite, cet article illustre les facteurs psychologiques qui conduisent a la formation de la voie de dependance dans la bloc industriel. Mots-Cles: bloc industriel, voie de dependance, identite regionale, attention selective, psychologie sociale
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".