A Microlevel Experience of Local-Global Tension in Virtual Communities of Practice: The Case of a Multinational Company in the Tire Industry
Bibliographic record
Abstract
This research advances the literature on tension by investigating how actors experience local-global tension and how this tension cascades from the macrolevel to the microlevel. Using a social constructivist approach and an individual discursive perspective, we examine a multinational corporation (MNC) in the tire manufacturing industry. We explore seven virtual communities of practice (VCPs) whose aim is to generate process innovation; and based on 34 interviews, we propose a model that highlights how macrolevel tension cascades into several tensions experienced by VCP participants at the microlevel. Moreover, we reveal how underlying ends–means tension is experienced at the mesolevel and how actors cope with it. We thereby show an interconnection among tensions that crosses organizational levels.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.028 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".