What are essential elements of valid research: The problem of 'data' and their collection in cross-cultural contexts
Notice bibliographique
Résumé
Professor Judith Bernhard teaches in the School of Early Childhood Education at Ryerson University. She draws on her own experience of research in the field of transnational families to illustrate the challenges of collecting data that can inform practice in the field. She begins by outlining her own personal history as an immigrant and an academic. The difficulties of attempting to be both an advocate for families and a scholarly investigator touch her personally. She uses two cases to illustrate some of these difficulties. The first is the case of divergent perspectives on the role of a parent in the case of a young adolescent whose family had come to Canada from El Salvador. The girl’s teacher and her family differed in their views on her rights and responsibilities, based on their cultural values. Dr. Bernhard describes how these different views were also represented among the members of the research team. Her own roots in South America gave her an understanding of the family’s position, while her academic training allowed her to sympathize with the teacher’s purposes. The team wrote a report that did not fully reflect the tension between the cultures; however, Dr. Bernhard concludes that researchers need to be more mindful of their own professional training and acculturation as important markers to consider in the research process. The second case she presents raises the difficulties she encountered using interviews to investigate the lived experience of refugee Somali mothers. The first interviewer, although an experienced researcher with immigrant roots, proved unacceptable to the Somali families, mostly because he was male. The next person chosen came from the Somali community and was trained by the researchers to obtain informed consent and conduct standard interviews. Dr. Bernhard describes how cultural perceptions and norms made it impossible to use these standardized approaches with the population under investigation, meaning that no credible research paper on the findings could be published. This in turn meant that information about the families’ situation and views would not reach professionals and policy makers whose decisions influence the families’ lives. Dr. Bernhard encourages the research community to reflect on how to take cultural issues into consideration when deciding what is meant by significant “data” and the best methods for collecting them.<br>
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 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 | 0,007 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,000 | 0,003 |
| 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 ».