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Record W6925804738 · doi:10.18712/nsd-nsd0592-1-v1

Labour Force Survey 4th quarter 1976 - 1st quarter 1978 panel file

2014· dataset· en· W6925804738 on OpenAlexaboutno aff

Bibliographic record

VenueNSD – Norsk senter for forskningsdata · 2014
Typedataset
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Current Population SurveyPopulationWorking populationPanel dataOfficial statistics

Abstract

fetched live from OpenAlex

SSB has conducted official quarterly labor force surveys (LFS) from Q1 1972. The survey aims to provide labor authorities and others knowledge about the occupational structure of population and development over time. The surveys provide the basis and statistical material for occupational forecasting and labor market research. In the LFS respondents are interviewed two consecutive quarters, then after two more quarters they are interviewed again in two consecutive quarters. Labour Force Survey 1972 is the first complete LFS year long survey. Originally it was intended that such statistics would be a more analytical supplement to the monthly employment statistics based on the insurance fund membership files. The insurance fund-based statistics, however, fell away when health insurance was included in the National Insurance Scheme from 1 January 1971, the LFS has gradually evolved to become the main source of knowledge about the state of the labor market. General information on the Labour Force Survey: http://www.nsd.uib.no/data/ny_individ/norStudy/aku.html Overview of LFS panels with detailed explanation for panel files: Group 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | Quarter 12345| 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | -4 00 0| 0 | | | | | | | -3 00 | 00 | | | | | | | -2 00 | 00 | | | | | | | -1 00| 00 | | | | | | | ------------|------|------|------|------|------|------|-------------- 1 0| 0 0 | 0 | | | | | | 2 | XX | XX | | | | | | 3 | XX | XX | | | | | | 4 | XX | XX | | | | | | ------------|------|------|------|------|------|------|-------------- 5 | X | X X | X | | | | | 6 | | XX | XX | | | | | 7 | | XX | XX | | | | | 8 | | XX | XX | | | | | 9 | | 0 | 0 0 | | | | | 10 | | | 00 | | | | | 11 | | | 00 | | | | | 12 | | | 00 | | | | | 13 | | | 0 | | | | | 14 | | | | 000 | | | | 15 | | | | XXXX | | | | 16 | | | | 0 0 | 0 | | | 17 | | | | XX | XX | | | 18 | | | | XX | XX | | | 19 | | | | XX | XX | | | ---------------------------------------------------------------------- 20 | | | | X | X X | X | | 21 | | | | | XX | XX | | 22 | | | | | XX | XX | | 23 | | | | | XX | XX | | ---------------------------------------------------------------------- 24 | | | | | X | X X | X | Panel files are created by linking four interviews from an ordinary interview round in LFS. In the table above this means that one could connect all the groups (lines) marked X. Group 1 is removed because the intweviews started 4th quarter 1971. Participation 4 times is used as a selection criterion, therefore everyone that didn't participate in the 4th interview has been omitted. In 1975 SSB changed selection strategy. The groups that were left out due to this (started in 1973 or 1974, should've had one or more interviews in 1975) are removed. The 1976 Labour Force Survey also adopted a slightly modified questionnaire and it returned to the original six-quarter rotation schedule. The new questionnaire meant that people in the group and family workers temporarily absent from work were identified in a better way. This resulted in approximately 30 to 35,000 more were counted as employed. The group job seekers without work income was also expanded to include involuntarily laid off. The questions of under- and over-employment in the original form was deleted. This panel file covers group 24 in the table above.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.041
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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.

Opus teacher head0.058
GPT teacher head0.259
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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