Labour Force Survey 2nd quarter 2015 - 1st quarter 2017, panel
Notice bibliographique
Résumé
Labour Force Survey 2nd quarter 2015 - 1st quarter 2017, 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 |2011|2012|2013|2014|2015|2016|2017|2018| Quarter |1234|1234|1234|1234|1234|1234|1234|1234| --------------------------------------------------------------------------------------------- |____|____|__XX|XXXX|XX__|____|____|____| 2015, 2 |____|____|___X|XXXX|XXX_|____|____|____| 2015, 3 |____|____|____|XXXX|XXXX|____|____|____| 2015, 4 --------------------------------------------------------------------------------------------- |____|____|____|_XXX|XXXX|X___|____|____| 2016, 1 |____|____|____|__XX|XXXX|XX__|____|____| 2016, 2 |____|____|____|___X|XXXX|XXX_|____|____| 2016, 3 |____|____|____|____|XXXX|XXXX|____|____| 2016, 4 --------------------------------------------------------------------------------------------- |____|____|____|____|_XXX|XXXX|X___|____| 2017, 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.
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.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».