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Record W6930047036 · doi:10.5255/ukda-sn-5390-1

Quarterly Labour Force Survey, June - August, 2005: Local Area Data

2006· dataset· en· W6930047036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUK Data Archive · 2006
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWelshQuarter (Canadian coin)Seasonal adjustmentSeasonalityLocal authorityData series

Abstract

fetched live from OpenAlex

The <i>Labour Force Survey</i> (LFS) has been carried out in the UK since 1973. From 1973 until 1983 the survey was carried out biennially, and from 1984 until 1991 it was conducted annually. In 1992 the quarterly LFS was introduced. For full background and methodological information users should refer to the main <i>Quarterly Labour Force Survey</i> (QLFS) series (held at the UK Data Archive (UKDA) under GN 33246).<br> <br> The <i>Local Area Data</i> series was produced quarterly alongside the main QLFS from 1992-2006, and included aggregated data on employment, economic activity and related subjects, covering Local Authority Districts (LADs), Training and Enterprise Councils (TECs), and their Scottish and Welsh equivalents. From 1992 until August 1997, the data covered Great Britain, and from September 1997 data from Northern Ireland were added. The <i>Local Area Data</i> were also available as an annual database between 1994-1995 and 1999-2000, for LADs at individual level, but these are no longer produced.<br> <br> <b>LFS move from seasonal to calendar quarters</b><br> In accordance with EU regulations, the LFS moved from seasonal (spring, summer, autumn, winter) quarters to calendar quarters (January-March, April-June, July-September, October-December) in 2006. The last seasonal <i>Local Area Data</i> dataset issued was the <i>Quarterly Labour Force Survey, December 2005 - February, 2006: Local Area Data</i> (SN 5392), and the first calendar quarter dataset was the <i>Quarterly Labour Force Survey, January - March, 2006: Local Area Data</i> (SN 5393). Users should note that there is some overlap between these two datasets. Further information on the seasonal to calendar quarter change and its impact on LFS data may be found in the following online article:<br> Madouros, V. (2006) <i>Impact of the switch from seasonal to calendar quarters in the Labour Force Survey</i>, London: ONS.<br> <br> <b>LFS Documentation</b><br> The User Guides available with the UK Data Archive's LFS studies are those available at the time of deposit. Users can access the updated guides online via the ONS <a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="Labour Force Survey User Guide">LFS User Guide</a> pages.<br>

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient 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 score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0270.012
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.033

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 head0.054
GPT teacher head0.303
Teacher spread0.249 · 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

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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