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Record W4415256751 · doi:10.1177/08948453251389928

Will the Satisfaction of Basic Psychological Needs Induce the Presence of a Calling?

2025· article· en· W4415256751 on OpenAlexaff
Benjamin M. Walsh, Zachary Spencer, Allison Burrus, Dana Kabat‐Farr

Bibliographic record

VenueJournal of Career Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsDalhousie University
FundersUniversity of Illinois at Urbana-ChampaignGrand Valley State University
KeywordsCompetence (human resources)Need theoryJob satisfactionBasic needsCareer developmentWork (physics)Self-determination theory

Abstract

fetched live from OpenAlex

Career callings manifest when work is viewed as a vital part of one’s identity. Employees who experience a career calling tend to report beneficial outcomes (e.g., career self-efficacy, job satisfaction, and work engagement), but researchers know much less about the factors that shape the presence of a career calling. This study seeks to understand what induces women working in domestic violence services to experience the presence of a career calling. We draw upon basic psychological need theory to hypothesize that the satisfaction of the basic needs for autonomy, competence, and relatedness will promote calling presence. Two-wave survey data were collected from 207 women working in domestic violence services. Cross-lagged panel modeling results showed that satisfaction of the basic needs for competence and relatedness (but not autonomy) were positively associated with calling presence. Our findings provide key insights into the utility of basic psychological need theory for understanding the antecedents to the presence of a career calling. Limitations, directions for future research, and implications are discussed.

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)0.002
metaresearch head score (Gemma)0.012
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.056
GPT teacher head0.360
Teacher spread0.305 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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