Labour Force Sample Survey, 1972, 4th Quarter
Bibliographic record
Abstract
SSB has conducted official quarterly labour force surveys (AKU) as of the first quarter of 1972. It aims to provide the labour authorities and other interested in knowledge concerning occupational structure of population and development over time. The surveys will provide basis and statistical material for occupational forecasting and labour market research. In AKU each respondent is interviewed in two consecutive quarters, then there is a break during the next two quarters, before they are finally interviewed again for two consecutive quarters. The Labour Force Survey 1972 is the first complete year. Originally these statistics were meant as an analytical complement to the monthly employment statistics, which were based on the insurance fund membership files. These statistics, however, vanished when health insurance was incorporated into the social security in January 1971, and AKU gradually became the most important source of the state and development of the labour market. This file covers data collected in the fourth quarter of 1972. The weighted frequencies for this file (fourth quarter 1972) differ slightly from the published figures. This seems to be caused by a somewhat unclear definition of quarters. Published figures: Weighted numbers from this file: Persons 16 - 74 years of age: 2.732.000 2.738.882 Actively working: 2.429.000 2.434.500 Not working: 287.000 287.870 Employed 1.644.000 1.646.102 Paid to work 1.567.000 1.569.674 There are errors in the NOS published figures, Table 4 Education level. University & College Level 2 and 3 missing. This causes displacements. 120,000 too little on high school level 1 and 2 and 67,000 too many at university level. This error is repeated in NOS up to and including 1975.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.040 |
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 source (direct Gemma or distilled Codex), 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".