A Tale of Two Conferences: Professional Discourse, Music Education, and Justice
Notice bibliographique
Résumé
A Tale of Two ConferencesProfessional Discourse, Music Education, and Justice Eric Shieh This is an exploration of misunderstandings. Beginning with my own. It is 3:15pm at the Pearson International Airport, Toronto. I am leaving the musica ficta/Lived Realities conference on "Engagements and Exclusions in Music, Education, and the Arts" held at the University of Toronto, January 2008, and this is what I write: "I am thinking about what I am going to take from this conference and I think ultimately it may be a profound sense of disappointment. I do not feel anymore that I am part of a larger community that will support me, or that there is a web of people engaged in justice-oriented practice …." Explicitly addressing issues of equity and social justice in music education, the conference shared similar themes and a similar participant base with a conference held at Teachers College, New York City, in October 2006, titled the "International Conference on Music Education, Equity, and Social Justice," the first of its kind. Yet where I left the Toronto conference with a sense of disappointment, I found myself writing after the New York conference: "Don't forget—the [End Page 203] feeling of urgency … of wanting to engage again in philosophy, and wanting to read again and renew faith with the project of change." The difference that provoked these polar reactions, I contend here, is in part a difference in the research presented at the two conferences—a differing orientation toward issues of social justice as well as toward the music education profession itself. I also argue, however, that the researchers share more similarities than the discourses surrounding the conferences allow and in part the differences perceived are a by-product of professional structures that serve to polarize discourse—structures that are foregrounded in these two conferences. My intent here, then, is not to valorize the NYC conference or disparage the Toronto conference based on my reactions but to read these reactions as problematic, where euphoria can be reactionary and resistance productive, with the understanding that they are heavily limited by my identification as a young, unestablished music practitioner. I begin first by unpacking those reactions through a reading of the differences between the two conferences. Ultimately, I seek the implications of these differences and similarities for research and practice at the intersection of social justice and music education, and argue that my initial reactions are symptomatic of a wider and potentially harmful approach to this work. Justice, Positively and Negatively Conceived I wish to begin explicating the differences between the two conferences at an oddly revealing detail: the inscriptions featured on the covers of the respective conference booklets and, in the case of the Toronto conference, replicated on the website and call for papers. The NYC conference features a lengthy and hopeful quote by Maxine Greene, worth reproducing in full: "Because it is only through the projection of a better social order that we can perceive the gaps in what exists and try to transform and repair…. This can happen in classrooms, in corridors, in schoolyards, in the streets around."1 Contrast this with the authorless four-word mantra of the Toronto Conference: "Charity is Not Justice," represented as a photograph of graffiti on what looks to be a construction site. The difference is stark: the Greene quote indicates that the NYC conference might seek to project a better social order from which action might arise. The Toronto conference, on the other hand, forcefully declares the project of justice in the negative: it is not charity. It is worth taking a moment to put these two inscriptions in dialogue. There is a way, certainly, that Greene in this quote allows for—and perhaps encourages—charitable work. If a person, for example, believes that a better world includes feeding the homeless, he or she might be moved to open a soup kitchen. Insofar as this is an act of charity (and most people would agree that it is), the mantra of the Toronto conference rejects it outright. Furthermore, the use of a [End Page 204] photograph of presumably authentic graffiti lays claim to a kind of streetwise, oppressed authority that throws a...
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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 | 0,017 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,060 | 0,039 |
| Communication savante | 0,034 | 0,027 |
| Science ouverte | 0,003 | 0,029 |
| Intégrité de la recherche | 0,011 | 0,030 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,002 |
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 ».