CANO/ACIO Annual Conference Workshop Abstracts
Bibliographic record
Abstract
https://doi.org/10.5737/2368807634182 W-01-A Malignant hematology and stem cell transplant nursing – Talk hematology to me Laurie Ann Holmes1 Anna Giulione2 W-02-A International results on the specialty certification of advanced practice nurses: Implications for oncology nurses in Canada Denise Bryant-Lukosius1,2, Lorelei Newton3,4, Catriona Buick3,5, Andrea Knox3,6, Bonnie Leung3,6 W-03-A Revitalizing and integrating the CANO/ACIO Oncology Nursing Learning Pathway and Practice Framework: Designing an innovative education resource for nurses caring for persons with cancer Sarah Champ1, Kara Jamieson-Wright2 W-04-A Overcoming challenges in graduate education and research: CANO/ACIO Doctoral Student Network Workshop Kylie Teggart1, Amina Silva2, Bonnie Leung3, Billy Vinette4, Tracy Powell5, Rebecca Puddester6, Kimberly Shapkin5, Francis Kobekyaa3, Aimee Castro7, Argin Malakian8, Jagbir Kaur3 W-04-B Learning together about what’s working to improve cancer diagnoses Leah Stephenson1, Aurelia Roman1, Taylor Tomko1, Amy Rosvold1, Rachael Manion2, Louise Binder3, Suzanne Wait4, Martin Dawes5, Stephanie Michaud6, Jennifer Rayner7, Michael Smylie8, Amy Hayes9, Sara Rauhullah9, Natalie Verreault10, Tim Marshall10 W-05-A Strengthening oncology nurses’ symptom support competencies: A train-the-trainer workshop using COSTaRS practice guides Dawn Stacey1,2, Amber Killam3, Jennifer Newton3 W-05-B The Society for Integrative Oncology-American Society for Clinical Oncology Clinical Practice Guidelines for Pain and Anxiety/Depression Lynda G. Balneaves1, Heather Greenlee2, Linda Carlson3, Alyson Doyle2, Nofisat Ismaila4, Richard Lee5, Jun Mao6, Debu Tripathy7, and Suzanne Zick8 W-06-A Safe handing of hazardous drugs Komal Patel Saini & Jiahui Wong W-06-B Cancer and medical cannabis: Therapeutic ‘pot’ential? Reanne Booker1,2 W-01-B LEADS in action – A hands-on workshop to building leadership competencies Joy Tarasuk1, Ruby Gidda2 W-02-B Take a stab at it: Developing vascular access resources for oncology practice Cheryl Page, Janny Proba W-03-B Intimacy and sexuality after cancer: A workshop on nursing approach to address patients’ unmet needs Janet Giroux1, Komal Patel Saini2 W-04-C Integrating geriatric assessment into everyday oncology nursing practice: A hands-on workshop Susie Monginot1, Rana Jin1, Bonnie Leung2, Kimberly Shapkin3,4, Allison Weins5, Fay Strohschein3 W-04-D Developing a community of practice to support integration of geriatric assessment and management into everyday oncology nursing practice: An interactive discussion and workshop Fay Strohschein1,2, Allison Wiens3, Bonnie Leung4, Susie Monginot5, Kimberly Shapkin1,6, Rana Jin5, Martine Puts7 W-05-C How to foster safe and efficient cannabis use in oncology: Tips and recommendations for oncology nurses Billy Vinette1–6 W-05-D Using patient-reported outcomes (PROs) to facilitate serious illness conversations: An interactive workshop April Hildebrand1, Claire Link1, Andrea DeIure1, Linda Watson1,2 W-06-C Cancer patient navigation – The creation of a national orientation program Sarah Champ1, Catherine Dixon2, Michelle L. Rosentreter3, Elizabeth Rioux4, Jodi Collier1 W-06-D How can I support cancer survivorship from diagnosis to discharge? A workshop for clinical oncology nurses Carrie MacDonald-Liska1, Karine Bilodeau2, Kelly-Anne Baines3 Merck Clinical Lectureship Award Model of care – Virtual oncology in the Northwest Territories – Oncology clinic RN role Catherine Dixon Helene Hudson Memorial Lectureship Award sponsored by Amgen Compassion fatigue: Harnessing the strength within Tania Bergen, Hua Li I-1-A Supporting scholarship in oncology nursing: Achievements and lessons learned in the development of an Oncology Nursing Research Centre of Excellence Anet Julius1, Lara Cooper1, Lindsay Carlsson1, Samantha J Mayo1,2 I-1-B Nurse-initiated protocols and decision support tools in oncology nursing practice Crystele Montpetit, Theressa Zapach I-1-C Exploring how to successfully make a nursing practice change: Frontline leaders using the ADKAR Model & the Knowledge Translation Challenge Process Chelsea Kenny, Shelby Ritchey I-1-D Building on our strengths – Development of a joint foundational oncology orientation program Cheryl Page, Kelly-Lynn Nancekivell, Janny Proba, Suganya Vadivelu I-2-A Strengthening oncology nursing partnerships: Development of a hybrid oncology student learning pathway Michelle Lafreniere, Joy Bunsko I-2-B Growing oncology expertise: C3 development ladder Celia Aiello, Angela Banjar I-2-C Barriers, facilitators and motivations to pursue specialty certification in oncology nursing: The case of BC oncology nurses Jagbir Kaur, Megan Crosby, Scott Beck, Andrea Knox, Charlotte Neville, Sonya Sangha, Leah Lambert I-2-D Crossing the chasm: Building relationships between clinical trial and cancer care nurses to improve clinical trial recruitment in Nova Scotia Alison Avery, Holly Robinson, Victoria Roberts, Donna Sutherland, Lorrie Yunace I-3-A Implementing New Cervical Brachytherapy Program: Nursing Perspective Kassandra Gallichan, Baillie Gibson, Janny Proba, Maja Tuta I-3-B Managing infusion reactions: Optimizing scope for timely intervention Carolyn Fifield1, Deb Barnhill1, Meghan Bragg1, Kate Heighton=, Kara Jamieson2, Navanna Pelletier2, Joy Tarasuk1 I-3-C Preventing and managing complications of high-dose methotrexate Laurie Ann Holmes I-3-D Network leadership: Lessons learned Chelsea Ilagan, Gabrielle Chartier I-4-A The power of nursing: Nurse driven decision tool to manage toxicities with Acute promyelocytic leukemia Laurie Ann Holmes I-4-B Impact of obtaining patient-reported symptoms from patients with metastatic breast cancer Joy Bunkso1, Savitri Singh-Carlson1, Michael McKenzie1, Antony Porcino1, Frances Wong1, LeeAnn Martin1, Rebecca Mattson2 I-4-C Improving sleep quality after cancer: What does the evidence tell us? Caroline Arbour1-2, Karine Bilodeau1,3, Samantha Mayo4-5, Josée Savard6, Imran Ahmad3 I-5-A Developing a competency-based educational framework for palliative care in home and community Gayatre Maharaj, Tanya Baker I-5-B Optimizing the strength within: Integrating palliative care in hematologic oncology Reanne Booker1,2
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.574 | 0.330 |
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".