Labour Force Survey, 2. quarter 1997 - 1. quarter 1999, panel
Bibliographic record
Abstract
This dataset is based on the panel survey "Labour Force Survey, 2. quarter 1997 - 1. quarter 1999". The Labour Force Survey will provide the basis and statistical material for occupational forecasting and labor market research. The Labour Force Survey has evolved to become the main source of knowledge about the state of the labor market. In 1996, the LFS questionnaire, file description, and standard coding of industry and occupation was significaly revised. Data collection eventually went over to CATI - Computer Assisted Telephone Interviewing. The present file has incorporated these changes. New industrial classification in this file. (NOS C 182, based on EU standard NACE, Rev.1) New Classification of Occupations (STRYK) based on ISCO 88 is adopted from 1996, in these data the occupation are coded for new standard. From 1996 the rotation schedule changed, so every family now is attending eight consecutive quarters. From 1996, also the sampling plan changed, making stratification at the county level. Overview of LFS panels with detailed explanation for panel files: Group 1994 |1995|1996|1997|1998|1999|2000|2001|2002|2003|2004 Quarter1234|1234 |1234|1234 |1234|1234|1234|1234|1234|1234|1234 ---------------------------------------------------------------------------------------------------------- |____|____|____|____|____|____|____|____|____| 1997,1 |____|____|____|_XXX|XXXX|X___|____|____|____| 1997,2 |____|____|____|__XX|XXXX|XX__|____|____|____| 1997,3 |____|____|____|___X|XXXX|XXX_|____|____|____| 1997,4 ---------------------------------------------------------------------------------------------------------- |____|____|____|____|XXXX|XXXX|____|____|____| 1998,1 |____|____|____|____|_XXX|XXXX|X___|____|____| 1998,2 |____|____|____|____|__XX|XXXX|XX__|____|____| 1998,3 |____|____|____|____|___X|XXXX|XXX_|____|____| 1998,4 ---------------------------------------------------------------------------------------------------------- |____|____|____|____|____|XXXX|XXXX|____|____| 1999,1 |____|____|____|____|____|____|____|____|____| 1999,2 |____|____|____|____|____|____|____|____|____| 1999,3 |____|____|____|____|____|____|____|____|____| 1999,4 ---------------------------------------------------------------------------------------------------------- Panel files are created by linking eight interviews from an ordinary interview round of the LFS. In the table above it means that one could connect all the pools (lines) labeled X. Participation 8.gang is used as a selection criterion. Annual files and block files consist of IO that are included for 1.time, 2.time, etc. The weights that such cross sections (columns) can be balanced with national figures.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.087 | 0.085 |
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".