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Enregistrement W6962947129 · doi:10.18712/nsd-nsd2702-v1

Labour Force Survey Panel 2nd Quarter 2017 – 1st Quarter 2019

2019· dataset· en· W6962947129 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueNSD – Norsk senter for forskningsdata · 2019
Typedataset
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePineapple and bromelain studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésQuarter (Canadian coin)NorwegianData collectionPopulationCensusClub

Résumé

récupéré en direct d'OpenAlex

Labour Force Survey 2nd quarter 2017 - 1st quarter 2019, panel (8 quarters) As of the 1st quarter of 1972, SSB has conducted official quarterly labour force surveys (AKU). These surveys aim to give the labour force authorities (and other people interested) knowledge of the occupational structure of the population and how it develops over time. The surveys are meant to give a foundation and statistical material for occupational prognoses and labour research. In 1996, AKU was significantly revised: The questionnaire, the file description and the standard for coding of industry and occupation. The data collection also changed to CATI - Computer Assisted Telephone Interviewing. A new classification of industry was put into use (NOS C 182, based on the EU standard NACE, Rev.1). This standard was updated in 2002 and 2007. Also, the new Norwegian standard classification of occupations (STYRK) based on ISCO 88 was used from 1996 and onwards. The variable indicating socio-economic status was omitted, as a similar variable was not developed in the new occupational classification. Every second quarter AKU is extended with a number of questions to collect data accordant to Eurostats / EUs spesifications. From 1996, the rotation schedule changed, each family now attends eight consecutive quarters. As of 1996 the selection shedule was changed as well with stratification at the county level. Summary of AKU panels with detailed explanations for panel files: Data collection for the new rotation plan as the basis for this file is shown below. Participants in the 4th quarter of 1997 is the first batch of 8 possible completed interviews. Pool |2012|2013|2014|2015|2016|2017|2018|2019| Quarte |1234|1234|1234|1234|1234|1234|1234|1234| --------------------------------------------------------------------------------------------- |____|____|__XX|XXXX|XX__|____|____|____| 2016, 2 |____|____|___X|XXXX|XXX_|____|____|____| 2016, 3 |____|____|____|XXXX|XXXX|____|____|____| 2016, 4 --------------------------------------------------------------------------------------------- |____|____|____|_XXX|XXXX|X___|____|____| 2017, 1 |____|____|____|__XX|XXXX|XX__|____|____| 2017, 2 |____|____|____|___X|XXXX|XXX_|____|____| 2017, 3 |____|____|____|____|XXXX|XXXX|____|____| 2017, 4 --------------------------------------------------------------------------------------------- |____|____|____|____|____|_XXX|XXXX|X___| 2019, 1 Panel files are created by linking eight interviews from an ordinary interview round of the Labour Force Survey. In the table above means that one could connect all the batches (lines) marked X. Participation 8 times used as a criterion for selection. Annual files and quarterly files consist of respondents who are participating for 1st time, 2nd time, and so on. The weights allow such cross-sections (columns) can be balanced with national figures. If 4 quarters is merged into an annual volume, the quarterly weights be divided by four to attain correct weighted annual numbers. Each panel (panel files: horisontal in the table) will have a weight compiled for each quarter. Although the weights do not differ much from each other, they will be compiled independently, and each weight should be used only for the data which the quarterly weight is made for. Weighted numbers is valid for one pool, which means ca 12,5 % (1/8) of a total quarterly selection. Therefore, one must multiply by 8 to approximate national quarterly figures By "Approximate national quarterly figures" it means that differences from the quarterly national weighted figures can appear, because of the selections and whitdrawal in the connection of the panels. Because of the whitdrawal inflated numbers will be lower than the national total figures. The main point of the weights is not to is not to give national totals, but rather to ensure the best possible representation. Statistics Norway is now utilising a new estimating method for the Labour Force Survey that includes more registers than earlier. The implementation of a new estimating method result in a lower number of employees than the earlier method and accordingly that the number of persons outside the labour force is higher. The total number of unemployed does not change a lot with the new method. In order to obtain more comparable numbers, the entire time series have been revised from 2006 and onwards.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,294
Écart entre enseignants0,255 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle