Piercing memory – marking history : the National Women's March Against Poverty and the quilt Women United Against Poverty 1996 and 2015
Bibliographic record
Abstract
The signature quilt Women United Against Poverty marks the National Women’s March Against Poverty that took place in 1996. The quilt top was created by Alice Olsen Williams from Curve Lake First Nation and Joanne Ursino. The content on the quilt (text, photographs, and images) is of great significance in seeking to better understand a particular moment in the social justice movement in Canada. A unique moment when women across the country - from divergent political, social and economic identities, backgrounds and relationships—worked together demanding an end to poverty under the political banner: “For Bread And Roses – For Jobs And Justice.” In the world of textiles, signature quilts, story quilts, political quilts and, more recently, the art quilt share a history that contributes to research in the field of narrative inquiry, feminist and queer discourse, and public art. This research study investigates how a practice of reflexive inquiry through the act of art making constitute a contribution to the public archive? It is both personal and political. The research is personal insofar as it is situated in a commitment to gender, sexual equality and studio art practice as a way of inquiring into and representing the world. It is political because it is anchored in the discourses of historical thinking, collective memory and contesting archives, mapping, materiality, material culture, making and coming to know through writing. It is an offering of meaning-making through arts-based research. I seek the unruly entanglements as I examine the liminal spaces in the materialities of writing and making and the intentional reading of post-modern feminist and queer theory, arts-based research and the challenge of data. The focus of this research study is on the location of the materiality of political action/praxis within the aesthetic realm. The quilt top was tucked away for almost twenty years. In returning to and un/finishing the artefact – making and quilting its layers is an integral act accompanying the writing of this thesis. Writing and stitching is an act of inquiry in and through the layers of meaning, matter and language.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".