MétaCan
Menu
Back to cohort
Record W7034224158

Telling Stories from Montreal's Negro Community Centre Fonds: The Archives as Community-Engaged Classroom

2020· article· en· W7034224158 on OpenAlexaboutno aff

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeAgency (philosophy)EthnographyIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

Working in the classroom alongside teaching faculty is an ideal way to bridge the gap between undergraduate education and archival research and to reach students who might never venture into the archives of their own accord. This article offers a sustained reflection on one way that historical archives can be placed at the centre of undergraduate education. It also considers how this engagement can open up spaces for public remembrance, particularly for marginalized “source” communities. The ongoing relationship between communities and the archives that they produce is vitally important. The focus here is on the intermediate history course Telling Stories, held in 2017, and developed around the Negro Community Centre/Charles H. Este Cultural Centre Fonds housed in Concordia University Library’s Special Collections. The Negro Community Centre was the hub of Montreal’s English-speaking Black community from 1927 until it closed in 1992. The course was timed to coincide with the public launch of this major new archival fonds, giving the students the honour of being the first researchers to ever go through these boxes. The idea of the course was thus simple: what can we learn from the history contained in these boxes and how can we return this history to the community? Allowing younger generations to make meaning from the archives and leave their marks there is a way to open spaces for new Montreal (hi)stories to be written. RÉSUMÉ Travailler dans une salle de classe adjacente à une faculté d’enseignement est la manière idéale de combler le fossé entre les études universitaires de premier cycle et la recherche archivistique et de rejoindre des étudiants qui, autrement, ne se seraient jamais aventurés d’eux-mêmes dans les archives. Cet article propose une réflexion soutenue sur une façon de mettre les archives historiques au coeur des études universitaires de premier cycle. Il aborde également comment cet engagement peut ouvrir des espaces de commémoration publique, notamment pour les communautés « sources » marginalisées. La relation continue entre les communautés et les archives qu’elles produisent est d’une importance vitale. L’accent est mis ici sur le cours d’histoire intermédiaire Telling Stories, donné en 2017, développé autour du fonds Negro Community Centre/Charles H. Este Cultural Centre, conservé à la bibliothèque des collections spéciales de l’Université Concordia. Le Negro Community Center a été le centre de la communauté noire anglophone de Montréal de 1927 jusqu’à sa fermeture en 1992. La programmation du cours s’est faite de façon à coïncider avec l’ouverture officielle de ce nouveau fonds archivistique important, offrant aux étudiants l’honneur d’être les premiers chercheurs à consulter ces cartons. L’idée derrière ce cours était simple : qu’y avait-il à apprendre de l’histoire contenue dans ces boîtes et comment est-il possible de retourner cette histoire à la communauté? Permettre aux générations futures de saisir la signification des archives et d’y laisser leur marque est une façon d’ouvrir de nouveaux espaces qui permettront l’écriture de nouvelles histoires de Montréal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.312
Threshold uncertainty score0.627

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0830.034
Scholarly communication0.0240.009
Open science0.0050.019
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0280.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.247
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractno

Explore more

Same venueArchivaria (Association of Canadian Archivists)Same topicZebrafish Biomedical Research ApplicationsFrench-language works237,207