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Record W4398146351 · doi:10.1111/ijlh.14292

International Society for Laboratory Hematology: Focus on Education, 2024

2024· article· en· W4398146351 on OpenAlexaff
Ruth Padmore

Bibliographic record

VenueInternational Journal of Laboratory Hematology · 2024
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHematologyFocus (optics)Internal medicineMedicineEngineering ethicsPolitical scienceMedical educationEngineeringPhysics

Abstract

fetched live from OpenAlex

The International Society for Laboratory Hematology (ISLH) continues to provide a strong focus on education. Each year there is a premeeting educational workshop, the day before the ISLH annual meeting, and this year is no different, with an excellent slate of speakers, and with a new twist; the topics are on the theme of coagulation. Last year's educational workshop presentations have been given again this year as well-attended live webinars, which are free to all at the time of presentation, and archived on the ISLH website with free access to members. In addition, several of the webinars have companion articles in the open access educational issue of International Journal of Laboratory Hematology (IJLH).1-3 In keeping with the ISLH focus on education, the ISLH board approved a reduction in fees to the annual ISLH meeting for trainees (residents/fellows/students). Also, there is a new ISLH membership category for training programs, with graded membership rates for up to 5, 10 or 15 trainees. The new training program category includes IJLH journal subscription. This year's annual meeting of ISLH in Nantes is also available to virtual attendees, allowing for more participation in these resource-constrained times. The remote registration includes live and on-demand access to symposia and parallel sessions, on-demand viewing of posters, and access to on-demand meeting content. We are all learners and educators, and it is important to be mindful in your educational activities for both of these roles, and it is suggested to take this opportunity to reflect on the underlying principles of adult education.4 I would like to bid you farewell as your VP of education for the past 3 years, and look forward to supporting the new VP of education as of May 2024. The author declares no competing interest.

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)0.006
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.185
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0070.003
Open science0.0020.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.1850.217

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 head0.015
GPT teacher head0.342
Teacher spread0.327 · 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
GenreEmpirical

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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