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Record W6925517310 · doi:10.18712/nsd-nsd0591-3-v1

Labour Force Survey 2nd quarter 1976 - 3rd quarter 1977, panel file

2014· dataset· en· W6925517310 on OpenAlexaboutno aff

Bibliographic record

VenueNSD – Norsk senter for forskningsdata · 2014
Typedataset
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Current Population SurveyPopulationCover (algebra)Official statisticsWorking populationPercentage point

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. This file cover data collected in 2nd and 3rd quarter 1976, 2nd and 3rd 1977. The criterion to be included in the file is interview participation in the two last quarters. In the overview this is group 22. 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 | Quarter12345| 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 | 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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.220
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.014
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1510.147

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 head0.035
GPT teacher head0.259
Teacher spread0.225 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Same venueNSD – Norsk senter for forskningsdataSame topicHistory of Computing TechnologiesFrench-language works237,207