Analysis of Employee Behaviours in End-of-Career Transition: The Case of Workers in Non-Standard Employment
Bibliographic record
Abstract
Over the last twenty years, we have witnessed an expansion in non-standard forms of employment and, as its corollary, more heterogeneous and more unstable career trajectories. Older workers, whose numbers in the workforce in Western countries have been growing, have been particularly affected by these changes. These workers have been affected by acute vulnerability in their lives both at work and outside work. Their end-of-career trajectories and the transitions associated with them have been less and less certain. This article examines the involvement behaviours of a group of older workers whose recent career trajectory has been based on non-standard jobs. More specifically, the article first describes the types of behaviour observed, then presents the relationship between age and the subjects’ future, and then examines whether the latter is associated with these types of behaviour. Lastly, in addition, it assesses whether these behaviours are also statistically linked with the socio-biographical characteristics of the individuals and their employment situation.The approach adopted is based on the life course perspective which places emphasis on the study of occupational transitions, such as the end-of-career transition. From this perspective, the authors selected four principles guiding their study: the worker’s status as an actor, capable of making choices and formulating plans; a main focus on the subjectivity of the individuals, in particular their representations of their age and the stage of life they are in; the necessary interpretation of present experiences in terms of one’s previous life course and expectations for the future; and the interdependency of the various spheres of life. This approach proves to be particularly useful in the current context of evolving end-of-career trajectories, which can, based on this analytical framework, be interpreted as a triple trend towards disinstitutionalization, dechronologization and destandardization.This study is based on a corpus of 78 semi-structured interviews conducted in Quebec with men and women aged 45 or older, who have been in non-standard employment for at least three years. The content analysis brought out four types of involvement behaviours in different spheres of life, at the end-of-career stage: (1) shifting to a new stage of life, characterized by gradual disinvolvement from the work sphere with increased involvement in family life and leisure activities (29.5%); (2) reinforced and decisive involvement in the work sphere and the decision to relegate non-work projects to the background (17.9%); (3) choosing an equal distribution of commitments, both psychological and temporal, to both life at work and life outside work (19.2%); (4) starting a socio-occupational dropping out process, marked by psychological disinvolvement from the work sphere, without significant re-involvement in other spheres (33.3%). Each of these types of behaviour proved to be associated with experiences specific to the workers’ recent career trajectory. In accordance with the life course approach, a second typology was developed to understand the workers’ subjective representation of their advancing age and the stage of life they are in, based on their past experiences and their plans for the future. Three distinct types emerged. Thus, some of these workers view their age as a strength which guarantees their labour market retention (26.9%); some see their age as a social limit holding back any new career plan and get into a position of waiting for retirement (35.9%); and some think of their age as a source of multiple vulnerabilities and discrimination, which undermines their future at work (37.2%).The authors then bring out a statistical link between the relationship with age and the future and the observed types of involvement behaviour. Taking into account this subjective variable proves to be particularly revealing for interpreting the diversity of behaviours. Moreover, the examination of several socio-biographical variables or variables linked to the employment situation at the time of the survey (gender, age, education level, family situation, employment insecurity, financial satisfaction) reveals a number of statistically significant links which are, in general, consistent with the scientific literature. In the discussion, the authors place emphasis on both the range of behaviours observed among older non-standard workers and the low frequency of the normative behaviour expected at the end-of-career stage, namely disinvolvement from work in favour of life outside work. Based on the life course perspective, this result is seen as an indicator of a destandardization of end-of-career trajectories which, however, might turn out to be a double-edge sword for workers. The diversity of behaviours observed also illustrates the relevance of considering simultaneously life at work and life outside work. As regards the workers’ subjective view of their advancing age and the stage of life they are in, attention is drawn to the phenomenon of early psychological disinvolvement from work, which can be interpreted as premature aging, the consequences of which are worrying at individual, organizational and societal levels. Lastly, as regards the link between types of involvement behaviour and the relationship with age and the future, it may be relevant to consider the workers’ subjective view of their employment situation, since the latter is moreover dependent on their perception of their career and biographical trajectories. The authors suggest that this association between types of behaviour and the relationship with age and the future can be interpreted as the linkage between individual biographical temporalities (past/present/future).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".