Bibliographic record
Abstract
The following publication considers the different labour market experiences of women and men in Northern Ireland.A consistent feature of the labour market is higher employment and unemployment rates for males and higher inactivity rates for females.These features are explored using estimates from the Labour Force Survey quarterly and household datasets. Key Points: The employment rate for males in NI has been consistently higher than for females over the past ten years.Although the number of employees in NI was evenly split between males and females in 2019, the number of self-employed males was more than double the number of self-employed females. Males were more likely to work full-time than females.Furthermore, approximately 60% of employed women with dependent children worked full-time, compared to 95% of employed males with dependent children. The unemployment rate for males in NI has been consistently higher than for females over the past ten years, however, the gap is narrowing between the two.In 2019, 44% of the unemployed were female and 56% were male. Over the past 10 years there have been consistently more economically inactive women than men.In 2019, just under a third of working age women were economically inactive, compared to just under a quarter of men.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.008 |
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; both teacher heads agree on what is shown here.
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".