MétaCan
Menu
Retour à la cohorte
Enregistrement W4385867756 · doi:10.59962/9780774850513-017

Youth Employment Programs in British Columbia: Taking the High Road or the Low Road?

2007· book-chapter· en· W4385867756 sur OpenAlexaboutno aff
Linda Wong, Stephen McBride

Notice bibliographique

RevueUniversity of British Columbia Press eBooks · 2007
Typebook-chapter
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueCommunity Development and Social Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRoad constructionTransport engineeringRoad transportRoad trafficRoad mapPolitical scienceGeographyEngineeringCartography

Résumé

récupéré en direct d'OpenAlex

Contemporary labour markets are characterized by heightened insecurity and the distinction between good and bad jobs.As a result of this, the transition from youth to adulthood has grown more difWcult.Labour market conditions for young people in Canada are poor on a variety of indicators.Rhetoric about lifelong learning and the extension of education hides the fact that many experience difWculties and delayed independence because of poor labour market conditions.Entry into the labour force is delayed, and this postpones the age of independent living.The fact that more young people are continuing their education represents a struggle for positional advantage within a difWcult environment, and it is as much an indicator of lack of adequate jobs as it is of a desire to invest in their own human capital resources.Human capital theory holds that the knowledge and skills possessed by individuals is a factor of production in the same way as is physical capital (buildings, raw materials, machinery, etc.).Higher levels of skill and knowledge, achieved through education and training, lead to higher productivity, which is expressed in higher earnings for those who possess them. 1 To the extent that labour market problems are accompanied by higher education enrolments, this theory enables policy makers to take a benign view of developments.A high skill economy, the result of major investments in human capital, is often referred to as a high road strategy -one that should be followed in preference to a low road strategy, which is based on low wages and leads to a race to the bottom in terms of labour and social standards.The high road strategy is portrayed as resulting in a virtuous circle of high skills, high productivity, and high wages.In general, this chapter concludes that British Columbia has failed to develop a "high road strategy" -a training system geared to a high skill economy.This failure has led, in turn, to a pursuit of policies that re-enforce the inequities of a neoliberal labour market, such as high unemployment, underemployment, greater use of contingent labour, and so on, rather than striving to overcome them. Youth Employment Programs in British Columbia 231 Labour Market Conditions for Canadian YouthWe start with an examination of labour market conditions for Canadian youth.While labour market conditions for adults remained poor during the 1990s, the situation for Canadian youth was worse.Unlike after the recession of the early 1980s, after the recession of the early 1990s the labour market for youth aged Wfteen to twenty-four was very slow to improve.Teenagers were particularly affected.Through much of the 1990s the youth unemployment rate was about 1.8 times higher than was that of adults.During late 1996 and 1997 the adult unemployment rate dropped, while the youth rate continued to increase.As a result, the youth-to-adult unemployment rate ratio went above 2.00, and it remained around 2.2 in the late 1990s. 2 The same bleak picture holds for earnings.Between the early 1980s and the early 1990s, the average earnings of youths fell by about 20 percent.3 Young people make up a high proportion of those earning the minimum wage and a disproportionate share of the part-time workforce.In total, the youth population constituted 58 percent of those making minimum wage.4 In 1970, 29 percent of young earners worked full year, full time; however, by 1995 this proportion had declined to only 16 percent.5 Participation rates among youth also decreased substantially during the 1990s.The adult participation rate declined moderately from 85.1 percent in 1990 to a low of 83.7 percent in 2000, compared to the drastic drop from 73 percent for youth in 1990 to 61.6 percent in 2000.6 While the adult unemployment rate was on a pattern of slow decline, youth unemployment increased until it hit a decade high of 17.3 percent in 1998.Since then there has been a modest decline, but it has yet to reach the 1990 level of 12.8 percent.7 While demographic factors may explain some of the decline in youth participation in British Columbia, there are indications that structural barriers and challenges in the labour market continue to challenge a young person's ability to Wnd work.For example, the number of Wfteento nineteen-year-olds not in school, not employed, and not actively looking for work increased from 12.6 percent in 1990 to 20.7 percent in 2000.8 One explanation of this is that young people in the 1990s showed a greater preference for enrolment in education and training programs.It is reasonable to suppose, however, that this "preference" was driven by a deteriorating labour market.Underemployment, in the sense of individuals working fewer hours than they would like, makes young people's situation even more difWcult.9 In the Wrst quarter of 1997 the underemployment rate for youth was 4.7 percent, double that of adult women and nearly three times that for adult men. 10 In 1996 the involuntary part-time rate among youth aged Wfteen to twenty-four was 10 percent, twice the rate of those over twenty-four.11 Canadian youth see themselves as "occupationally challenged," and they * Unless otherwise indicated the information came from interviews with participants working in the Youth Programs.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,202

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0060,001
Communication savante0,0030,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,080
Tête enseignante GPT0,205
Écart entre enseignants0,125 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of British Columbia Press eBooksMême sujetCommunity Development and Social ImpactTravaux en français237 207