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Record W4378746585 · doi:10.1080/10376178.2023.2220422

“You cannot be what you cannot see”: we need visible nursing role models shaping a healthier planetary future for all

2023· editorial· en· W4378746585 on OpenAlexaff
Zerina Lokmic‐Tomkins, Jacqueline Avanthay Strus, June Kaminski, Shauna Davies

Bibliographic record

VenueContemporary Nurse · 2023
Typeeditorial
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsKwantlen Polytechnic UniversityUniversité de Saint-BonifaceUniversity of ReginaRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsNursingProject commissioningMedicinePsychologyPublishingPolitical science

Abstract

fetched live from OpenAlex

As we delved into our editorial on nurses as leaders in planetary health initiatives, we were eager to highlight real-life examples. However, to our surprise, it proved to be a challenging task. Wh...

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)0.019
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.055
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.066
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0040.003
Science and technology studies0.0100.006
Scholarly communication0.0170.009
Open science0.0060.005
Research integrity0.0550.063
Insufficient payload (model declined to judge)0.0140.009

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 head0.098
GPT teacher head0.343
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2023
Admission routes1
Has abstractno

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