Moving Down: Women`s Part-time Work and Occupational Change in Britain 1991-2001
Bibliographic record
Abstract
The UK`s Equal Opportunities Commission has recently drawn attention to the `hidden brain drain` when women working part-time are employed in occupations below those for which they are qualified. These inferences were based on self-reporting. We give an objective and quantitative analysis of the nature of occupational change as women make the transition between full-time and part-time work. We construct an occupational classification which supports a ranking of occupations based on the average level of qualification of those employed there on a full-time basis. Using the NESPD and the BHPS for the period 1991-2001 we show that perhaps one-quarter of women moving from full- to part-time work move to an occupation at a lower level of qualification. Over 20 percent of professional women downgrade, half of them moving to low-skill jobs; two-thirds of nurses leaving nursing become care assistants; women from managerial positions are particularly badly affected. Women remaining with their current employer are much less vulnerable to downgrading, and the availability of part-time opportunities within the occupation is far more important than the presence of a pre-school child in determining whether a woman moves to a lower-level occupation. These findings indicate a loss of economic efficiency through the underutilisation of the skills of many of the women who work part-time.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".