A cross-national, cross-sectional study of women's retention and advancement in Information Technology (IT) and Engineering careers – Sweden Report
Notice bibliographique
Résumé
This report offers summary results from the Sweden survey of the Cross-National, Cross-Sectional Study of Women’s Retention and Advancement in Information Technology and Engineering Careers project. Women continue to be underrepresented in science, technology, engineering, and mathematic (STEM) fields. This project highlights factors that contribute to the retention and attrition rates of women working in engineering and information and communication technology (EICT) jobs across Canada, Sweden, and Germany. The primary objective of this project is to identify the impact of welfare state entitlements, job factors, and family/individual circumstances on women’s intent to stay or leave their jobs. Our findings from the Sweden survey suggest that job-related factors such as limited permanent positions, dissatisfaction with salary, few promotion opportunities, and hostile climate are the main reasons for respondents’ job attrition. Therefore, workplaces that offer job security, good pay, and supportive peers, leaders and management can improve job retention. Improvements to welfare state entitlements for students like increased study allowance, grants, and loans, and increases to benefits for illness/injury leave and unemployment may also reduce the pressures of work-life interference. The respondents for the Sweden survey did not support increasing child-related benefits or parental leave. Another objective of this study is to evaluate the impact and variation of these circumstances by employment sector and work type. We directly compared the experiences of women working in engineering to computer science and information technology (CSIT), as well as women working in the academic sector to the non-academic sector. We also compared Sweden-born respondents to respondents born in other countries. Our findings indicate that broadly there is greater job retention within engineering than CSIT despite CSIT respondents expressing more career satisfaction and less workplace alienation. We also find that respondents born in Sweden have more career satisfaction and less workplace alienation compared to respondents born elsewhere. These differences highlight the need to take an intersectional approach to understanding women’s working experiences within EICT in Sweden. In the future, we will compare these results to similar surveys administered in Germany and Canada to uncover potential similarities and differences in job attrition and retention cross-nationally. Overall, the statistical analysis demonstrates that, despite increased efforts to improve gender equity across STEM fields, gender inequalities, stereotypes, and biases remain problems within EICT in Sweden, shaping women’s day to day workplace experiences across employment sectors. We would like to thank the Social Sciences and Humanities Research Council for their support and funding of this project.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».