Global ends, local means: Cross-national homogeneity in professional service firms
Bibliographic record
Abstract
An expanding institutionalist literature on professional service firms (PSFs) emphasizes that these are ridden by contradictions, paradoxes and conflicting logics. More specifically, literature looking at PSFs in a global context has highlighted how these contradictions prevent firms from becoming truly global in nature. What it takes to make partner in the Big 4 is at the core of such interrogations because partners belong to global firms yet are promoted at the national level. We undertake a cross-country comparison of partner promotion processes in Big 4 PSFs in Canada, France, Spain and the UK. Synthesizing existing institutionalist work with Bourdieusian theory, our results suggest that PSFs in different countries resemble each other very closely in terms of the requirements demanded of their partners. Although heterogeneity can be observed in the way in which different forms of capital are converted into each other, we show there is an overall homogeneity in that economic capital hurdles are the most significant, if not the sole, set of criteria upon which considerations of partnership admissions are based.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| 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".