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Trans- and interdisciplinary research - Running a Graduate Research School across the Atlantic Ocean

2020· article· en· W3145110569 on OpenAlexaff
Christel van den Bogaard, K Laing

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSummer campAmpereWork (physics)OceanographySociologyPhysicsGeologyThermodynamics

Abstract

fetched live from OpenAlex

<p>Understanding ocean and atmosphere dynamics in the Atlantic Ocean is the goal of the HOSST-TOSST Research school  "Transatlantic Ocean System Science and Technology“. At the heart of the project is the introduction of science work across topics of the North Atlantic Ocean System. Our goal is motivating the young researcher to consider and engage with various aspects of ocean research beyond their own special field of research. For this we have established a weekly seminar series with video system support.  It allows us to stay in contact even with an ocean between us.  Being able to stay in contact, we meet once a year in person in a joint summer school, setting up topics outside the immediate research areas and have all participants work in small groups. Co-supervision of doctoral thesis and extended research exchanges at the partner University, working with the co-supervisors research group, are fundamental for the full transatlantic research experience.</p><p>The poster and our presence will give interested persons the chance to learn from our experience how to enable a good group dynamic in the research school. Providing the basics for the best interdisciplinary research. Come and learn from our experience of establishing a dynamic research network across the Atlantic. </p>

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.215
GPT teacher head0.414
Teacher spread0.199 · 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.

Study designObservational
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
Published2020
Admission routes1
Has abstractyes

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