The effectiveness of compensation strategies in international technology intensive firms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The dilemma between cultural and sector predictors of compensation policies is more important than ever in a context of internationalisation. If relations between sectors of activity and compensation practices are well established in a single country, international comparisons are less common. In contrast with the strategic human resource perspective, whereby human resource managers have high autonomy in alignment of human resources with various business contingencies, such as strategy and structure, institutional pressures in a particular country somewhat limit firms' power to adopt well-established international compensation policies. Based on data from 602 large firms in three countries (Canada, France, Great Britain) this study demonstrates that country is a more appropriate level of analysis than the high technology sector in understanding compensation policies. However, the results show that several compensation strategies are more adapted to firms in high technology environments.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it