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Enregistrement W7044930864

'Against the odds': insights from Black, Asian and minority ethnic teachers

2021· other· en· W7044930864 sur OpenAlexaboutno aff

Notice bibliographique

RevueResearchSPAce (Bath Spa University) · 2021
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEthnic groupNarrativeRepresentation (politics)Quarter (Canadian coin)Race (biology)State (computer science)Social justiceNarrative inquiry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The stark disparity in representation between the number of Black, Asian and minority ethnic (BAME) teachers in primary and secondary schools and the pupils that they teach is widely documented. Almost one third of pupils in state maintained primary schools are BAME, and just over a quarter of the pupils in state maintained secondary schools are from BAME backgrounds; this is in sharp contrast to 7.2% of teachers from BAME backgrounds, (DfE, 2015) Although the author acknowledges and problematises the continued existence of inhibitory and inequitable societal structures, the featured research project does not seek to add to the already significant literature base on the reasons for the disproportionate representation of BAME teachers. Instead, drawing on critical race theory, this research recognises and celebrates that communities of colour have multiple strengths and assets (Yosso, 2005). And these need to be harnessed for the world of education. Building on this potent and positive premise, the research lens shifts away from a deficit model by specifically researching individuals from Black, Asian and minority ethnic groups who are in the 7.2% minority and who have succeeded in joining the teaching profession. This research seeks to establish if there are commonalities in the lived experiences of these individuals who have successfully navigated their way through any potential ‘oppressive structures’ Lynn and Jennings ( 2009) and arguably ‘against the odds’ have qualified as teachers. With social justice underpinnings, the primary research aim is to foreground, celebrate and learn from these narratives of resistance. Shining a light on the deconstructed narratives brings fresh insights and generates a knowledge base that could ultimately empower those who may be currently disempowered to join the teaching profession. The study is presented as a pragmatic counter to the perceived inertia of progress in this domain. In this presentation powerful and empowering sources of evidence are shared from the rich qualitative dataset gathered from 1:1 semi structured interviews with 15 qualified teachers from a BAME background.The sample selected for the research were former primary and secondary PGCE students (cohorts 2015 - 2019) from the author’s university and thus represented a convenience sample. In terms of data gathering methods, the individuals were asked a set of open ended questions that probed: their motivations for joining the teaching profession; the nature of any personal attributes, skills and dispositions they possessed; as well as forms of cultural wealth, assets or resources they may have drawn on, such aspirational, navigational, social, linguistic, familial and resistant capital. In addition, the participants were invited to offer ideas on the design of future outreach work for the PGCE recruitment purposes to encourage a greater representation from under-represented ethnic groups. Each interview was recorded and transcribed and the final transcription sent to each participant to check for accuracy. The data gathered from the interviews were analysed using principles of Grounded theory ( Charmaz 2006). An open ended inductive method was used to organise and reduce the interview data set into emergent categories. This initial list was then reduced down by looking for similarities or potential repetition in themes that could effectively be classified together as one overarching data theme. These data themes were analysed against the framework of critical race theory, (Crenshaw, 2002, Ladson Billings, 2009), community cultural wealth, (Yosso, 2005, Gonzales et al 1995 ), intersectionality theory, ( Collins and Bilge, 2020 ). The key findings, conclusions and recommendations are offered with implications for ITE recruitment policy and practice discussed.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,013
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil0,088

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,013
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0250,026
Communication savante0,0110,012
Science ouverte0,0030,011
Intégrité de la recherche0,0030,009
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,042
Tête enseignante GPT0,274
Écart entre enseignants0,232 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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