Accounting for army recruitment: White and non-white soldiers and the British Army
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
A statistically based enquiry into recruitment into the British Army over the period 1987-2000 shows that two factors tend to induce young men to enlist: high levels of unemployment in the civilian sector and positive signals from the authorities that the Army is in a recruiting phase. The same result obtains, broadly speaking, in the context of both white and non-white (ethnic minority) recruitment, although the willingness of ethnic minority young men to contemplate an Army career is only about a quarter of that of white men, other things being equal. Correspondingly, the Army shows no signs of reaching the target agreed with the Commission for Racial Equality in 1997 for a 1 percentage point increase annually in the percentage of recruits being drawn from the ethnic minorities. This article has something to say about how the Army might improve its performance in this regard by offering more in-service training and education to otherwise underqualified recruits and concentrating recruitment effort on regions of high ethnic minority unemployment.
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.
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 | 0.000 |
| 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