MétaCan
Menu
Back to cohort
Record W4242569632 · doi:10.1007/978-3-322-82907-8_59

Ressourcen freisetzen

2001· book-chapter· de· W4242569632 on OpenAlexaff
Wolf W. Lasko

Bibliographic record

VenueGabler Verlag eBooks · 2001
Typebook-chapter
Languagede
FieldBusiness, Management and Accounting
TopicCorporate Management and Leadership
Canadian institutionsEaglePicher (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Sie kennen Ihre Ziele für die nächsten Jahre. Sie haben Prioritäten gesetzt und Projekte daraus entwickelt. Sie sind überzeugt, alle nötigen Voraussetzungen zu haben, Sie wissen sogar, was es Sie kosten wird, diese Ziele nicht zu erreichen. Trotz allem kann es noch etwas geben, was Sie nicht weiterkommen lässt. Selbst wenn Sie schon auf dem Weg sind, kann es Ihnen zwischendurch passieren, dass unerwartete Hindernisse auftauchen, die Ihnen die Sicherheit rauben.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0090.010
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1000.062

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 head0.060
GPT teacher head0.208
Teacher spread0.148 · 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
GenreOther

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
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueGabler Verlag eBooksSame topicCorporate Management and LeadershipFrench-language works237,207