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Factors affecting job satisfaction among young Poles

2025· article· W4415775909 on OpenAlexaboutno aff
Paulina Kopyto

Bibliographic record

VenueScientific Papers of Silesian University of Technology Organization and Management Series · 2025
Typearticle
Language
FieldSocial Sciences
TopicGenerational Differences and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Job satisfactionMatching (statistics)Context (archaeology)Sample (material)Job market

Abstract

fetched live from OpenAlex

Purpose: Observation and analysis of the behavior of young people in the modern labor market reveals that their expectations may differ from the expectations of previous generations. The aim of this article is to identify the factors influencing job satisfaction among young Poles in the context of employment. The article refers to current problems on the labor market related to the issue of matching the expectations of potential employees to the employment conditions offered by employers. Design/methodology/approach: The study was conducted using the CAVI survey method on a representative sample of 1067 Polish men and women in the fourth quarter of 2024. Two age groups were distinguished: individuals aged 18-24 and 25-39. The study employed random, proportional sampling, and only employed individuals were surveyed. The analysis was deepened by calculating the Cramer's V correlation coefficient between declared expectations and membership in a specific age group. Findings: The results show no significant differences in employment expectations between Generation Y and Z and older generations. Across all age groups, key factors valued in employment include job stability, a low-stress working environment, and adequate compensation. Research limitations/implications: Conducting in-depth individual and group interviews with members of Generations Y and Z could provide more detailed insights into their work-related motivations and attitudes in the workplace. Practical implications: The findings can support organizations in developing effective recruitment strategies targeting young people. Originality/value: This article explores the employment-related expectations of Poles across different age groups, with a particular focus on Generations Y and Z. The study’s findings may serve as a valuable resource for organizations looking to tailor their recruitment processes and workplace structures to better align with the evolving career aspirations of younger employees. Keywords: labor market, Generation Y, Generation Z, work-life balance, career expectations. Category of the paper: research paper.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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