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Record W4394433274 · doi:10.6084/m9.figshare.19386672

Additional file 6 of Optimizing the integration of family caregivers in the delivery of person-centered care: evaluation of an educational program for the healthcare workforce

2022· dataset· en· W4394433274 on OpenAlexaff
Jasneet Parmar, Tanya L’Heureux, Sharon Anderson, Wendy Austin, Cheryl Pollard, Lisa Poole, Lesley Charles, Lyn K. Sonnenberg, Myles Leslie, Gwen McGhan, Arlene Huhn, Sandy Sereda, Cecilia Marion, Glenda Tarnowski, Jennifer Mah, Denise Melenberg, Carolyn Weir, Charlotte Pooler, Nora MacLachlan, Suzette Brémault‐Phillips, Peter George Jaminal Tian, Lori‐Ann R. Sacrey

Bibliographic record

VenueOpen MIND · 2022
Typedataset
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsBow Valley CollegeNorQuest CollegeCovenant HealthGlenrose Rehabilitation HospitalUniversity of ReginaUniversity of CalgaryUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsWorkforceFamily centered careHealth careNursingHealthcare deliveryBusinessPsychologyMedical educationMedicineEconomic growthEconomics

Abstract

fetched live from OpenAlex

Additional file 6.

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)0.002
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.363
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3630.049

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 head0.181
GPT teacher head0.412
Teacher spread0.231 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueOpen MINDSame topicFamily Support in IllnessFrench-language works237,207