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Record W3182191260

J. Krishnamurti and the Contemporary World Crises: Introduction to the Conference Proceedings

2021· article· en· W3182191260 on OpenAlexaboutno aff
Ashwani Kumar, Nayha Acharya

Bibliographic record

VenueeYLS (Yale Law School) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

We, Ashwani Kumar and Nayha Acharya, are excited and honoured to share the conference proceedings of the J. Krishnamurti and the Contemporary World Crises International Online Conference. The conference took place at the end of February 2021. It was free for anyone to attend. In our introduction we share how the conference was conceptualized, why J. Krishnamurti is a relevant focus in today’s world, how the conference unfolded, and how attendees responded to this conference.\nI, Ashwani Kumar, have spent much of my academic journey studying, applying, teaching, and engaging in dialogues about J. Krishnamurti’s insights into human consciousness and education. Early 2020 brought with it a tremendous shaking up of human consciousness with the beginning of the COVID-19 pandemic and the emergence of the Black Lives Matter movement that seemed to have ignited the entire world. These occurrences shone a spotlight on so many of our individual and collective issues including our fears, anxieties, mental illnesses, racial violence and prejudice, vaccine nationalism, and even our over- commitment to productivity resulting in personal, societal, and environmental detriment. Noticing all this, I was struck by the value that J. Krishnamurti’s ideas can have in the contemporary world. I envisioned an intercultural and inter-disciplinary dialogue that would enable an exchange of ideas on the relevance of J. Krishnamurti’s insights from various angles and perspectives. I discussed this idea with Nayha Acharya, who had recently begun incorporating J. Krishnamurti’s themes of human consciousness and conflict in her law school teaching and her research on conflict resolution. She was excited at the idea of being involved in such a rich gathering, so a collaboration between the two of us began.\nWe were awarded the Shastri Indo-Canadian Institute’s Program Development Grant to organize an online conference exploring the work of J. Krishnamurti and its relevance for contemporary world crises. The Shastri Indo-Canadian Institute’s vision is to strengthen ties between India and Canada and to facilitate ongoing connections between scholars, students, and other interested parties in the two countries. This grant provided us with the exciting opportunity to bring together Indian and Canadian scholars, practitioners, teachers, and students with a common interest in J. Krishnamurti’s work to learn from one another, build lasting connections, and explore our collective problems and possible responses. In this endeavour, we had the excellent assistance of two PhD students, Bonnie Petersen and James Caron, from Mount Saint Vincent University, and one Law student, Michal Jeszka, from Dalhousie University. The event could not have come together without their hard work, dedication, and commitment.\nThe goals and purpose of the conference are discussed in more detail below, but in summary, the conference featured twenty-two speakers from a range of disciplines including psychology, law, religious studies, philosophy, and education. The speakers engaged in panel discussions and question/answer sessions with attendees in six two-hour sessions throughout the two weekends of the conference. There were over 370 registrants. Every daily session resulted in rich expressions of the panellists’ personal, scholarly, and professional journeys with the work of J. Krishnamurti, and engaging dialogues with attendees. It brought together a vast number of like-minded individuals, resulting in a cross-cultural and inter-disciplinary community of people concerned with societal and individual betterment, and who have seen how the wisdom of J. Krishnamurti may further those goals in their own unique contexts.

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)0.003
metaresearch head score (Gemma)0.006
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.046
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.003
Scholarly communication0.0180.008
Open science0.0020.007
Research integrity0.0040.015
Insufficient payload (model declined to judge)0.0460.009

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 head0.036
GPT teacher head0.226
Teacher spread0.190 · 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
GenreCommentary

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
Published2021
Admission routes1
Has abstractyes

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