Legally satisfied: a survey of law library workers and job satisfaction
Notice bibliographique
Résumé
The authors surveyed law library workers across Canada in an attempt to discover whether they were satisfied with their jobs, and to compare these findings to previous surveys of those working in other types of libraries.Findings indicated that while law library workers are generally quite satisfied with their work, issues were discovered including salary, stress, and opportunities for advancement.Law libraries are quite different from many other types of libraries, and those who work in them might be employed by a wide variety of institutions, including universities, government libraries, courthouses, private law firms, prisons, law associations and private companies.The work itself is also quite specialized but the backgrounds of those working in law libraries may range from very little post-secondary education to multiple master's degrees and even law degrees.Regardless of background, unique training is necessary to understand the intricacies of law library work.In addition, patrons also may range from students to members of the general public, to lawyers and law professors, each adding different dimensions to the work that is done in the library.Bearing all this in mind, we wondered if law library workers in Canada were any more or less satisfied than those who worked in other types of libraries.We also wondered if the sources of job satisfaction (or dissatisfaction) would be similar to those already welldocumented in other types of librariesmainly issues regarding salary, staffing, and budgets.We assumed that for the most part, law library workers would be mainly satisfied with their jobs, but wondered if their niche knowledge and the specialized nature of their jobs would have any detectable influence on their being more or less satisfied than those working in other types of libraries.We also wondered if the satisfaction levels would differ among those working in different types of law library settings, and whether the ages of workers would be an important factor.
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Comment cette classification a été obtenuedéplier
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,007 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».