Ambition of young people - representatives of Y and Z generations
Bibliographic record
Abstract
The article presents the results of a comparative analysis of self-assessment of ambition of students - representatives of Y and Z generations. The aim of the study was to identify the similarities and differences in self-esteem of ambition and the degree of its expression among young people of different generations. A cross-sectional survey of young people's ambition was conducted in 2009 (Gen Y youth) and 2020 (Gen Z youth). The study involved 200 young people aged 18-22: 106 young people of generation Y and 94 young people of generation Z. To study ambition, the “Ambition” questionnaire (O.V. Barsukova) was used. Most of the young people of generation Y assess themselves as ambitious or rather ambitious people (70.42%), slightly more than a quarter of students (28.17%) consider themselves to be un-ambitious people or rather un-ambitious than ambitious people. The minimum number of students found it difficult to assess themselves (1.41%). Most of the young people of generation Y rate their ambition as high (45.07%), about a third of them - as moderate (30.99%), about a quarter of them - as low (23.94%). The majority of young people of generation Z (70.22%) consider themselves ambitious people or rather ambitious than un-ambitious people, about a third of them (29.79%) consider themselves un-ambitious people or rather un-ambitious than ambitious people. There were no young people who found it difficult to assess themselves. Most of the young people of generation Z rate their ambition as moderate (51.06%), just over a third of them - as high (36.17%), the minimum number - as low (12.77%). There were no significant differences in the self-esteem of ambition and in the degree of its expression among young people belonging to different generations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".