Data insight: productivity differences within Northern Ireland
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
This Data Insight examines the differences in productivity across the 11 local government districts (LGDs) in Northern Ireland, using data from the Northern Ireland Annual Business Inquiry. We focus on how labour, capital, and government subsidies are associated with the gross value added (the value generated by any unit engaged in the production of goods and services) at the enterprise level.We find there are persistent differences in productivity across LGDs, with high productivity areas driven by the presence of ‘top performers’.Increasing labour inputs is found to have apositive effect on firms’ gross value added across all LGDs, but the effect of increasing capital investment or government subsidies varies byLGD.These findings suggest future policy interventions must be place-based and tailored to reflect the spatial variations present in firm performance across Northern Ireland.<br/><br/>
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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