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Record W2757237588 · doi:10.1186/s40461-017-0060-5

Employers and apprenticeships in England: costs, risks and policy reforms

2017· article· en· W2757237588 on OpenAlex
Lynn Gambin, Terence Hogarth

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmpirical research in vocational education and training · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsApprenticeshipBusinessInvestment (military)Training (meteorology)Labour economicsEconomicsPolitical science

Abstract

fetched live from OpenAlex

That so many employers in various sectors continue to train apprentices despite incurring substantial costs can be taken as prima facie evidence of there being ways to mitigate the investment risk. The main downside in the English apprenticeship system is that the overall levels of employer engagement and training volumes are considered sub-optimal and in reality there is a fine balance which can put the performance of the firm and the wider economy at risk due to insufficient skill development. This paper draws on data from the Net Costs and Benefits of Training to Employers series of studies (carried out between 1994 and 2012). Each of the original studies consisted of case studies of employers in particular sectors in which the costs associated with training an apprentice were considered against the benefits employers obtain through this activity during the training period. Data in the original studies was collected in face-to-face interviews with the employers. The data were aligned with an accounting framework that captured the relevant costs and benefits of apprenticeship training from the perspective of the employer. Calculations were carried out to also indicate the payback period (i.e. the period after training has taken over which an employer could be expected to recoup any net cost they had incurred). We present the most comprehensive available estimates of the net costs of apprenticeship to employers in England to illustrate how costs vary across sectors and how, for most employers, engaging in apprenticeship training leaves them with a net cost at the end of the training period. The extent of this net cost at the end of the formal training period is found to vary substantially by sector and level of apprenticeship and over time, in real terms, the net costs of training have tended to increase across all sectors. Employers reported a range of rationales for training apprentices; from supply-led (e.g. where participation was prompted by training providers offering it for free) to more demand-led (e.g. where employers saw apprenticeship as necessary for acquiring needed skills) reasons. Employer sensitivity to various cost parameters depended upon where on the supply- to demand-led continuum they fell. Despite various policy changes since the mid-1990s, employers’ engagement in apprenticeships in England has not achieved a significant volume and there are still financial risks attached to investing in this form of training. Even with the latest reforms of funding and delivery embodied in the move to apprenticeship standards and the introduction of an employer levy, there is no guarantee that more employers will be willing to train apprentices or that those who already engage will train more. There is a need to consider various ways of reducing employers’ risk without inducing unintended behavioural changes that counter overall policy objectives.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.390
GPT teacher head0.488
Teacher spread0.099 · 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