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Record W6888085980 · doi:10.18712/nsd-nsd0609-2-v1

Labour Force Sample Survey 3rd quarter 1988 - 4th quarter 1989, panel file, recoded

2014· dataset· en· W6888085980 on OpenAlexaboutno aff

Bibliographic record

VenueNSD – Norsk senter for forskningsdata · 2014
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Current Population SurveySample (material)PopulationLife tableTable (database)Working populationCensus

Abstract

fetched live from OpenAlex

SSB has conducted official quarterly labor force surveys (LFS) as of 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 |1980|1981|1982|1983 |1984|1985|1986|1987|1988 |1989|1990 Quarter 1234 |1234|1234|1234 |1234|1234 |1234|1234|1234|1234|1234 --------------------------------------------------------------------------------------------------------------- 60 |____|____|____|____|____|___X|X__X|X___|____|____| 601_1 = 1987,1 61 |____|____|____|____|____|____|XX__|XX__|____|____| 601_2 = 1987,2 62 |____|____|____|____|____|____|_XX_|_XX_|____|____| 601_3 = 1987,3 63 |____|____|____|____|____|____|__XX|__XX|____|____| 601_4 = 1987,4 ------------------------------------------------------------------------------------------------------------------ 64 |____|____|____|____|____|____|___X|X__X|X___|____| 603_1 = 1988,1 65 |____|____|____|____|____|____|____|XX__|XX__|____| 603_2 = 1988,2 66 |____|____|____|____|____|____|____|_XX_|_XX_|____| 603_3 = 1988,3 67 |____|____|____|____|____|____|____|__XX|__XX|____| 603_4 = 1988,4 ------------------------------------------------------------------------------------------------------------------ 68 |____|____|____|____|____|____|____|___X|X__X|X___|____| 605 = 1989,1 69 |____|____|____|____|____|____|____|____|XX__|XX__|____| 607 = 1989,2 70 |____|____|____|____|____|____|____|____|_XX_|_XX_|____| 609 = 1989,3 71 |____|____|____|____|____|____|____|____|__XX|__XX|____| 610 = 1989,4 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. Participation 4 times is used as a selection criterion. In 1975 there was a break in the Panel systematics, see 1975. With the Labour Force Survey 1976, it adopted a slightly modified questionnaire and returned to the original six-quarter rotation plan, which has been stable since. Looking at a particular column, for example. Q1 1988, we see that one quarter of respondents are included for 4th time, 3rd time etc, put together they summarise the total material for one quarter. Quarterly weighting allows one such quarter (column) can be balanced with national figures. Taking 4 quarters and add them toghether into one year, the quarter weights must be divided by 4 to give the correct weighted figures for vintage. Panel files go in the other direction (horizontally) and each panel will have four weights, one for each quarter, and although they do not differ much they will be prepared independently and each weight should be used only for data made from the quarterly weight. Weighted figures counts as a group, ie approximately 25% of the total quarterly sample and must therefore multiply by 4 to get approximately the national quarterly. By "almost national quarterly" it means that since panel connectors implies a specific selection process, therefore it may appear minor differences from the weighted national numbers one gets for each quarter This panel file includes my group 71 in the table. The weights in the original file is prepared for use monthly quarterly weights are developed by dividing weight in 3 months.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.075
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0750.059

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 head0.053
GPT teacher head0.290
Teacher spread0.237 · 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 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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