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Workforce Mobility within the Construction Industry in Quebec: A Dual Reality

2008· article· en· W11770723 on OpenAlexaffabout
Jean Charest

Bibliographic record

VenueThe Journal of Dermatology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWorkforceLabour economicsBusinessHuman capitalWork (physics)Demographic economicsEconomicsEngineeringEconomic growth

Abstract

fetched live from OpenAlex

The construction industry has often been described in terms of its distinctive features, that is, its industrial organization, the specificity of its workforce, the nature of its work processes or its labour relations system. An important feature of the industry is unstable employment and the resulting high level of workforce mobility. Empirically, this industrial mobility is reflected in a rate of workforce mobility in the industry that is practically twice higher than in the economy as a whole. This is based on the mobility indicator of terminations of “permanent” employment during the course of one year as used by Statistics Canada. However, the usual statistical measure of workforce mobility expresses a break in the employment relationship for a given employer. This measure therefore does not necessarily describe adequately the reality of an industry with characteristics such as those found in the construction industry, since the Statistics Canada data do not indicate if the workers find other employment in the same or another sector. These important distinctions are rarely considered in either official statistics or the literature. For an industry whose labour market tends to be regulated on a sectoral basis, which is the case in Quebec, workforce mobility within the industry or sector itself does not have the same significance as permanent departures from the industry. The latter would represent a net loss of human capital.Considering the possible impacts on the workforce, employers and the industry in general, it is important to examine this phenomenon of high workforce mobility, to measure it, and to try to evaluate its causes and effects. This article thus seeks to understand, in particular, whether workforce mobility in the construction industry is truly exceptional. We will examine original comparative data for Quebec and Canada. More particularly, we have sought to distinguish between workforce mobility within the construction industry and mobility expressed through workforce departures to other sectors.The main results of our research indicate that construction workers’ movement to other sectors in Quebec is a real and significant phenomenon, although it is among the lowest when compared to other Canadian provinces. The proportions of construction industry workers who move to other economic sectors are similar to those observed for other industries. Thus, our data on this mobility correspond to certain explanatory factors found in the literature to explain workforce mobility, such as age and income level. In fact, in line with most studies identified in the literature on workforce mobility, the workers who leave the industry are younger than those in the industry as a whole. Moreover, it can also be suggested that they are more inclined to leave the industry if, in addition to being among the youngest, they are not highly skilled. In terms of income, our results are in line with the literature. On the one hand, mobility is more often correlated with low initial gains for workers, and on the other, a logical consequence is that mobility reflects the workers’ desire to improve their economic situation. It can also be hypothesized that changing sector will tend to also correspond to workers’ changing their occupations. This hypothesis is supported by two facts. First, most construction trades are very specific to the industry and as such, are not easily exported to other sectors. Second, the sectors to which workers who have left construction tend to move often have little to do with the latter (e.g., transportation, commerce, public services or manufacturing industries).Workforce mobility in the construction industry is an ongoing challenge for an industry with characteristics of production activity that often result in employment instability. Thus, how can workers be attracted to and retained by the industry which, year after year, has twice as many employment terminations as in other sectors? Our data suggest an initial conclusion regarding the conditions that should be put in place to minimize permanent departures from the industry. The workers recruited should be guaranteed a satisfactory number of working hours, which will provide them with an income level that is at least comparable to other sectors. The recruitment of workers who hold a diploma, as compared with workers without experience or specific knowledge of the industry, also seems to have a positive effect on their retention. Our data also suggest that sectoral regulation of the workforce, and particularly the centralized management of benefits, are organizational features that mitigate certain disadvantages of employment instability for workers. In other words, it is argued that this model of sectoral regulation results in workforce management that reconciles the imperatives of the high mobility specific to this sector while at the same time ensuring a degree of economic security for workers.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.049
GPT teacher head0.328
Teacher spread0.280 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2008
Admission routes2
Has abstractyes

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