Disclosing Mental Health: The Experience of Post Secondary Students Transitioning into a Career/Experiential Learning Environment
Notice bibliographique
Résumé
The stigma associated with mental health and underrepresentation of students with disabilities in higher education is well documented (Barnard-Brak, Lechtenberger, and Tan 2010, p. 411). This presents a disclosure problem for post-secondary students with mental health challenges who are transitioning into a career or experiential learning environment. If students require workplace accommodations, they may find themselves faced with a decision to disclose mental health challenges to a faculty supervisor, career services practitioner or potential employer. Difficulties with mental health can be experienced because of a diagnosed mental health disability or be a symptom of another diagnosable disability.\nThe research begins to address a gap in the literature on these disclosure experiences and begins research into the lived experiences of students who, through known disclosures to faculty and other students, face abundant concerns about such disclosures. Using survey methodology, student experiences of these disclosure decisions, reactions and learnings were collected in two universities: Thompson Rivers and Wilfrid Laurier. Analysis of survey data identified dominant themes, differences facing different populations, and outliers. These results will be shared along with recommendations for universities, potential employers, and students themselves.\nWhen asked to identify their experiences with disclosing this information to employers, the study shows that 70% of students have “high” or “very high” fears of disclosing, and that these fears generated significant health challenges dues to their stress. These results are largely due to prior experiences with stigma, discrimination, and loss of opportunity. Almost all students experienced negative work or health consequences. And of the 58% who go on to disclose to a workplace supervisor, ¾ of them had a negative response. According to a study by Morris (2017), findings showed “that only 1 in 4 (25%) employees with disabilities [including mental health] who have an unmet need actually made the request to their employer or supervisor for it [and]…of those who did ask their employer or supervisor 40% were refused their request” (p. 10). The most common reason for not disclosing the need for workplace accommodations to an employer was levels of comfort and fear of negative outcomes (Morris, 2017, p.10).\nWhen considering the practice implications of these disclosure experiences, students indicated a need for improved resources, communication, connection, and education related to self-advocacy, self-disclosure, and accommodations. One survey participant expressed a need for universities to "make information related to self-disclosure/accommodations accessible and available to everyone because some students may not even know that these are options and what they would need to engage in these processes.” One way to support this request might be to include accessibility education within mandatory career management or career prep courses that are taken by all students pursuing coop education. Another resource might be an accommodations self-assessment tool to help students who are not sure what kinds of workplace supports they need (See Appendix 3). Students should also be provided with resources that can be accessed autonomously and confidentially, if required (TRU Deep Map Community Resources Hub, 2020, para 3). Resources for faculty, career services practitioners, and employers may include answers to frequently asked questions such as how to handle student disclosures, improve accessibility, determine essential job requirements, and implement accommodations. Such information could be provided online as well as through career professionals with workplace accessibility expertise within the university. Students who would like to access workplace accommodations will need to provide some level of disclosure.\nTherefore, to support students' transition into career and/or experiential learning environments, universities will need to develop resources and best practices that will create safer spaces to disclose. These resources should also include ways to support employers in becoming more accessible and inclusive for students with disabilities. Resources could include workshops on ways to become a more accessible employer and a matrix that provides accommodation suggestions for mitigating specific functional impacts (See Appendix 3).
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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 | 0,005 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,008 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,002 | 0,015 |
| Intégrité de la recherche | 0,003 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».