Strategic ethnography and reinvigorating Tesco Plc: Leveraging inside/ out bicultural bridging in multicultural teams
Bibliographic record
Abstract
This paper focuses on a study of Tesco Plc conducted in 2011, in which we trained a multicultural team of nine Asian managers to become in‐house ethnographers of Tesco UK for a 3‐month period studying 52 stores in the UK with dual objectives of helping Tesco (1) to understand and evaluate the core practices that comprised the essence of Tesco's home country advantage, and (2) to identify sources of learning from Tesco's foreign subsidiaries to aid in reinvigorating its core in light of increasing competition in its home market. We believe that the strategic and training dimensions of this project constitute a new contribution to the field of organisational ethnography, particularly with regard to the use of a multinational ethnographic team of non‐native speakers of English.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".