Boundary Conditions of the High‐Investment Human Resource Systems‐Small‐Firm Labor Productivity Relationship
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
Although a few published, multiindustry, firm‐level, empirical studies have linked systems of high‐investment or high‐performance human resource management practices to enhanced small‐firm performance, this stream of strategic human resource management research is underdeveloped and equivocal. Accordingly, in this study, we use a sample of for‐profit, private‐sector, small Canadian firms with fewer than 100 employees from a variety of industry sectors to examine boundary conditions of the relationship between firm‐level high‐investment human resource systems and objective small‐firm labor productivity. Congruent with contingency theory, this study's results indicate that the extent and nature of the influence of high‐investment human resource systems on objective small‐firm labor productivity is contingent on internal (differentiation strategy and firm capital intensity) and external boundary conditions (industry dynamism and industry growth). Implications and limitations of this research study as well as avenues for future research are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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