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ISCCM Position Statement for Improving Gender Balance in Critical Care Medicine

2024· article· en· W4401398030 on OpenAlexaff
Dhruva Chaudhry, Rajesh Chawla, R. S. Mathur, Yatin Mehta, Deepak Govil, Sumit Ray, Prashant Nasa, Saswati Sinha, Diptimala Agarwal, Shivakumar Iyer, Subhal Dixit, Bhuvana Krishna, Urvi Shukla, Atul P Kulkarni, Gunjan Chanchalani, Jigeeshu V. Divatia, Pradip Bhattacharya, Kayanoosh Kadapatti, Pravin Amin, Farhad Kapadia, Rekha Das, Reshu G. Khanikar, Tanima Baronia, Susruta Bandhopadhyay, Ashit M Bhagwati, Praveen K Jain, Leena A Patil

Bibliographic record

VenueIndian Journal of Critical Care Medicine · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicinePosition statementBalance (ability)Statement (logic)Family medicinePhysical therapyLaw

Abstract

fetched live from OpenAlex

Gender disparity in Critical Care Medicine (CCM) persists globally, with women being underrepresented. Female Intensivists remain a minority, facing challenges in academic and leadership positions at the workplace and within academic societies. The Indian Society of Critical Care Medicine (ISCCM) recognized the need for addressing issues related to gender parity and constituted its first Diversity Equity and Inclusion (DEI) Committee in 2023. Through a Delphi process involving 38 Panelists including 53% women, consensus and stability were achieved for 18 statements (95%). From these 18 consensus statements, 15 position statements were drafted to address gender balance issues in CCM. These statements advocate for equal opportunities in recruitment, workplace inclusivity, prevention of harassment, and improved female representation in leadership roles, nominated positions, and conferences. While the consensus reflects a significant step toward gender equity, further efforts are required to implement, advocate, and evaluate the impact of these measures. The ISCCM position statements offer valuable guidance for promoting gender balance within society and the CCM community. How to cite this article: . ISCCM Position Statement for Improving Gender Balance in Critical Care Medicine. Indian J Crit Care Med 2024;28(S2):S288-S296.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.410
Teacher spread0.360 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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