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Enregistrement W2949855779 · doi:10.1089/aut.2018.0040

Employment Support for Autistic Adults in the Information Technology Sector: A Case Study of Meticulon Consulting Inc.

2019· article· en· W2949855779 sur OpenAlexaff
David Nicholas, Ai-Men Lau

Notice bibliographique

RevueAutism in Adulthood · 2019
Typearticle
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésSupported employmentUnemploymentBusinessPsychologySocial supportPublic relationsWork (physics)Social psychologyEconomic growthPolitical scienceEconomics

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Autistic adults are at heightened risk to experience poor employment outcomes. Employment supports are suggested to improve these outcomes, but relatively little is known about the key ingredients of employment support and their respective impact. Methods: We conducted a case study of employment support offered by Meticulon Consulting Inc. , a social enterprise that facilitates and supports employment in the information technology (IT) sector for autistic adults. We conducted three sequential interviews (once per month) with four autistic adults working in the IT sector and receiving employment support, as well as one-time interviews with nine employers and three employment support personnel. Results: Participants valued employment support. They appreciated the immediacy and flexibility of support, varied assistance offered to both employees and employers, and organizational learning about needed workplace adjustments. Participants further stated that employment support improved work environments, decreased employee anxiety at work, and improved employee confidence. Challenges to employment included gaps in support during times of employment interruption, waning employee motivation, and mental health service gaps in the community. Recommendations for future advancement entailed (1) continuous support even in periods of unemployment, (2) employment support services across industries and sectors beyond IT, and (3) greater opportunity for autistic people, as they desire, to advance to leadership roles in employment settings. Conclusions: The study identifies benefits of, and guidance for, employment support in the IT sector. We offer recommendations, with potential relevance for autistic employees, employers, and employment support providers. Ensuring employment-related supports, as needed and desired by autistic adults, is a priority for advancing employment outcomes in this population. Lay summary Why was this study done? We did this study to learn about employment support in the information technology (IT) sector since little is known about these supports and they may be important in helping autistic adults obtain and keep jobs. What was the purpose of this study? We sought to explore employment support for autistic individuals working in the IT sector including what employment support was like for autistic adults, individuals employing them, and professionals providing them employment support. What did the researchers do? We asked 16 people with experience receiving or providing employment supports in the IT sector about their thoughts on employment support: 4 autistic adults who received program support, 9 employers, and 3 employment support professionals. What were the results of the study? Both employers and employees found employment support services helpful in obtaining and retaining employment. Participants described positive experiences with employment support, including better access to suitable and satisfying employment, improved work environments, decreased anxiety, and a supportive and trusting relationship with the job coaches. Employers noted the proficiency of the employees in their work duties, and identified the job coaches as sources of knowledge and guidance. Employers described benefits to their organizations including learning and growth in their work environment related to attitudes and knowledge about autism and autistic coworkers. Participants recommended (1) continuous employment support even in times of employment interruption, (2) providing employment support across industries and sectors beyond IT, and (3) fostering opportunities for leadership roles for autistic adults, as they desire. Some challenges identified by participants included gaps in services when individuals were waiting to be employed, employees losing motivation, and gaps in community mental health services. What do these findings add to what was already known? This study helps us better understand employment support in IT jobs. It adds knowledge about the benefits that autistic adults receive from this support. It also describes the importance of extending beyond only individual skill development and moving toward the development of an “ecosystem” of support with increased community resources, including supporting potential employers and reducing barriers to employment. The study also describes specific tasks of employment support, such as brokering communication between employees and employers. What are potential weaknesses in the study? We did this study in a single region and with a small group of people. It is possible others might have different experiences and perspectives. How will these findings help autistic adults now or in the future? This study highlights the value of employment support for autistic adults in the IT sector. With wider availability of effective employment support, it is hoped that more autistic adults will achieve better and more satisfying employment. Our findings offer information that can potentially contribute to good and satisfying career opportunities for autistic adults.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,131
Score d'incertitude au seuil0,639

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,308
Écart entre enseignants0,286 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2019
Routes d'admission1
Résumé présentoui

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