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Acceptance of Gold Medal From the Catalan Society of Transplantation by Drs. Lorraine Racusen and Kim Solez – With Remarks on the Banff Meeting Spirit

2017· article· en· W2771115866 on OpenAlexaff
Lorraine C. Racusen, Kim Solez

Bibliographic record

VenueTransplantation Proceedings · 2017
Typearticle
Languageen
FieldMedicine
TopicOrgan and Tissue Transplantation Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGratitudeFeelingExcellenceTransplantationMeaning (existential)ThrivingVisitor patternSociologyPsychologyMedia studiesMedicineLawSocial psychologySocial sciencePolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

The awarding of the gold medal from the Catalan Society of Transplantation to the organizers of the Banff Transplant Pathology meetings is an opportunity to acknowledge gratitude to all the people who have helped make these meetings a success over the past 26 years. Other large organizations have given up consensus conferences, but the Banff consensus process is thriving. It is unusual for any organization to have the same leadership for 26 years. It has only worked for the Banff meetings because the leadership was flexible and able to change with the times. People have often talked about the "special Banff spirit." This year's meeting gave us the opportunity to examine this spirit in detail by analyzing how the meeting consensus sessions and social events functioned. The meeting has never used expert facilitators, but instead has employed experts within the transplant pathology community to moderate discussions. The size of the working sessions is important; they have usually been less than 150 people, which is within "Dunbar's number," meaning that in gatherings of that size one can have empathetic feeling for all the people there. In larger gatherings one loses that "we are all in this together" feeling and people begin thinking "us" versus "them" thoughts. For "unknown" young people the ability to easily talk to well-known leaders in the field is rewarding and keeps them coming back for more time after time. Images of the social events do not suggest any sort of hierarchy; everyone interacts with everyone else.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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 designBench or experimental
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

Citations0
Published2017
Admission routes1
Has abstractyes

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