Linking Career Calling Profiles to Ecological Considerations in Vocational Behaviors, Ecological Worries and Nature Connectedness
Bibliographic record
Abstract
Career calling is a work orientation that refers to a sense of purpose that leads a person toward a personally fulfilling and socially significant engagement. It could be argued that the prosocial nature of calling might entail caring for the environment. Indeed, studies have linked calling to some pro-environmental behaviors. However, little attention has been devoted to understanding intraindividual patterns of calling and how configurations of calling dimensions might help understand the association with environmental attitudes. This study aimed to identify distinct career calling profiles and to examine their association with ecological considerations in vocational behaviors, ecological worries and nature connectedness. Latent profile analysis was conducted using data from a sample of French-Canadian adults ( N = 622). Results revealed four quantitively and qualitatively distinct profiles. Participants from the two profiles characterized by an above-average level of calling report higher levels of environmental attitudes than those profiles with below-average level of calling, as expected. These results support the importance of adopting a person-centered approach to understand calling considering that career calling profiles might reflect different work orientation. Moreover, this research suggests with whom it might be beneficial to integrate ecological considerations into career counseling practices.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".