Motivation, sensation seeking, and the recruitment of volunteer firefighters
Notice bibliographique
Résumé
Purpose – The purpose of this paper is to examine similarities and differences in motivational-type and sensation seeking tendencies in male and female firefighters and to determine how a growing focus on extrinsically focused reasons to volunteer relates to traditional, intrinsically focused rationales. Design/methodology/approach – In total, 160 volunteer firefighters (29 women, 131 men) were compared to 210 undergraduate controls (171 women, 39 men) across a spectrum of motivation and sensation seeking types in a cross-sectional, questionnaire-based, approach. Findings – Female volunteers showed a distinct pattern of motivations for volunteering and though similar to their male counterparts in Thrill and Adventure Seeking were lower in impulsive sensation seeking. Greater levels of career-focused motivation did not come at the cost of intrinsically focused motivation or to the number of years one projected volunteering. Research limitations/implications – The approach did not provide the means to check if reported intentions translate to behavioural outcomes and the small number of female firefighters sampled compromised power. Practical implications – Findings of how female volunteers differ from male counterparts and university women might be considered when developing recruitment drives and formulating policy to modify what is rewarded in firefighting. Findings further suggest that the potential of gaining paid employment is unlikely to compromise traditional reasons for volunteering. Social implications – Evidence that female volunteers possess a distinct and desirable pattern of motivations and sensation seeking relative to their male counterparts seemingly provides a rationale to target women in recruitment drives that extends beyond bolstering numbers. However, that they were also distinct from university females raises questions about their representativeness and, in turn, about the size of the potential pool from which fire services may draw. Hypothesized concern about the negative impact that volunteering as a means to obtain paid work has on more traditional, intrinsically focused motivations appears to be unfounded. Originality/value – Moves beyond anecdote to provide empirical evidence of the motivations and sensation seeking tendencies of volunteer firefighters, especially women, and contributes to a nascent area of inquiry about how intrinsic and extrinsic motivation can co-exist in this group.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».