How young people are faring: key indicators 2005: an update about the learning and work situation of young Australians
Notice bibliographique
Résumé
This report is the seventh in an annual series documenting changes in the learning and work circumstances of young Australians, though it is noted that this year it is being published in a very different policy environment to previous years. The report suggests that improving the education and training of young Australians is more important than ever because of skills shortages and an ageing workforce. A key finding is that each year a substantial proportion of young Australians make a poor transition from school to further study and work. Around 15 per cent of 15 to 19 year-olds are neither in full-time work nor full-time study. Three out of every 10 young Australians has a precarious or negligible attachment to work one year after leaving school. A quarter of Australians aged 18 to 19 are not in full-time education and work. The situation for 20 to 24 year-olds is similar, and these proportions have been almost unchanged for a decade or so. Reflecting on this latest data, the author notes that this is a problem that seemingly will not go away, even in spite of an unprecedented period of sustained economic growth. Many of these young Australians want to work or want to work more. More than a third of those outside the labour force and not studying full-time want a job. Most of the unemployed are seeking a full-time job, even though the trend over the last decade or longer has been from unemployment to part-time work, and most of those with part-time jobs want more hours of work. While the number of full-time jobs has continued to grow for the older population, it has not grown to the same extent for young Australians outside full-time study. Part-time employment has increasingly and for longer become the basis of their economic survival. As part-time work becomes a way of life for more young Australians, it may provide an extended stepping stone to full-time work. Equally, however, it may provide a poor foundation for future skill development or full-time engagement with the labour force. Australia has one of the highest levels of non-student part-time employment among OECD countries. Governments at all levels have initiated policies and programs designed to improve the transition of young people from school to further study and work, but many of the initiatives are relatively recent and their effects may not be seen for some time yet. Indigenous youth are possibly the most disadvantaged group in terms of education and employment. They are significantly under-represented both in universities and in New Apprenticeships, although their participation in the vocational education and training (VET) sector as a whole is better.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,011 | 0,015 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».