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Record W7015613714

ON TIME AND OFF TIME CAREER TRAJECTORIES IN THE NEW ECONOMY: THE CASE OF INFORMATION TECHNOLOGY WORK

2009· article· en· W7015613714 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarship@Western (Western University) · 2009
Typearticle
Languageen
FieldComputer Science
TopicInformation Systems Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforcePerspective (graphical)Work (physics)Information technologyLife course approachPart-time employmentAging in the American workforcePerceptionTime perspective
DOInot available

Abstract

fetched live from OpenAlex

There are significant changes happening in the world of work, under the guise of a 'new' economy that embraces innovation and technology, flexible labour, and risk and uncertainty. With the proliferation of less conventional work arrangements and new career forms, traditional notions of employment careers and life trajectories are in flux. To better understand these trends and potential consequences for workers, this research considers the relative timing of entry to a prototypical new economy sector, information technology (IT). Using the life course perspective as a guide, I investigate entry pathways to IT, assessing who is 'on time' (i.e., made a fairly direct transition from school to IT work in young adulthood with one's age cohort) and who is 'off time' (i.e., entered IT at a later life stage, often returning to school after some time away as part of the process). I then explore some of the nuances of on and off time paths, comparing motives, experiences of (re)training and IT work, career expectations and perceptions of future career trajectories. To do this, I employ a subsample of 135 Canadian IT workers and interview and survey data from a larger study, Workforce Aging in the New Economy. In this sample, a significant proportion of respondents (40 percent) are off time, and certain segments (women, older workers) are disproportionately so*. On time pathways tend to be better supported by social norms and institutions such as schools. Moreover, they appear to be associated with higher levels of education and holding the most highly skilled IT occupations, and presumably, more of the related benefits. Findings suggest that many off time entrants deal with unique struggles in education and labour market entry, including retraining challenges, greater difficulty securing appropriate employment in the field and lowered expectations in terms of their career development and satisfaction with working life. In a labour market environment that expects and encourages multiple changes in jobs or careers across the life course, this research reveals the need for structural change in work and educational environments to make such transitions easier and more efficient, especially later in life.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.496
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.028
GPT teacher head0.253
Teacher spread0.226 · 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