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Record W2021814688 · doi:10.1212/wnl.0b013e31826d5fd7

An introduction to the International Brain Research Organization: IBRO's beginnings

2012· article· en· W2021814688 on OpenAlexaboutno aff
Robynn Rockstad-Rex, Pierre J. Magistretti

Bibliographic record

VenueNeurology · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrain researchPolitical sciencePsychologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

At the dawn of modern neuroscience—midway through the 20th century—the International Brain Research Organization (IBRO) was already in the ether. It was a time filled with both difficulty and optimism: in the aftermath of the Second World War and during the emerging Cold War, science played a critical role in trying to bridge communities that were separated by political dissent. The seeds of IBRO took root during various scientific meetings occurring in the late 1940s and the 1950s, starting with a meeting of electroencephalographers in London in 1947. Momentum built as neuroscientists in many countries expressed a need for a central organization that would cut across world boundaries and improve communication and collaboration among brain researchers. At the 1958 Moscow Colloquium of EEG and Higher Nervous Activity, there was unanimous support for a resolution proposing the creation of an international organization representing brain research worldwide. In 1960, the Canadian Parliament discussed a bill to approve the charter that created IBRO, and formally established the organization in 1961, the same year in which construction began on the Berlin Wall. Working out of his office at the Montreal Neurological Institute of McGill University, Canada, IBRO's first Secretary-General Herbert Jasper and other IBRO volunteers focused their early efforts on creating a worldwide registry of neuroscientists. At the same time, they were negotiating resources and facilities that would allow IBRO to continue to grow and develop. UNESCO offered to settle IBRO in Paris, providing an office and budget. …

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.056
GPT teacher head0.336
Teacher spread0.280 · 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 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".

Quick stats

Citations3
Published2012
Admission routes1
Has abstractyes

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