Exploring the Challenges of Conducting Respectful Research: Seen and Unforeseen Factors within Urban School Research.
Bibliographic record
Abstract
544x376 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Table Normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:Times New Roman;} This paper discusses the significance of conducting respectful research within urban schools, using the example of one large-scale university-school board partnership in north-western Toronto. The authors, three research assistants on the project, use their experiences within three of the participating project schools to interrogate the research approach and methods involved and highlight the challenges of conducting respectful research. The critical reflection the authors engage with builds on the existing conception of respectful research with the added inclusion of ‘accountability’ as a primary focus. The paper outlines how aspects of respectful research are both included and overlooked within this research project. Ce document traite de l'importance de mener des recherches respectueux dans les ecoles urbaines, en utilisant l'exemple d'un partenariat de grande envergure entre un universite et plusieurs ecoles dans le nord-ouest Toronto. Les auteurs, trois assistants de recherche sur le projet, l'utilisation de leurs experiences au sein detrois des ecoles participant au projet pour interroger la demarche de rechercheet les methodes et de souligner les defis de la recherche respectueuse. La reflexion critique, les auteurs s'engagent a fond sur la conception actuelle de la recherche respectueuse avec l'inclusion ajoutee de la ‘responsabilisation’ comme une priorite. Le document decrit comment certains aspects de la recherche sont a la fois respectueuses inclus et neglige dans ce projet de recherche.
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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 | 0.490 | 0.536 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.047 | 0.125 |
| Scholarly communication | 0.054 | 0.036 |
| Open science | 0.006 | 0.032 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".