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Record W6992795454

MIM (Malmö Institute for Studies of Migration, Diversity and Welfare) Academic Record 2007–2010

2011· other· en· W6992795454 on OpenAlexfundno aff

Bibliographic record

VenueMalmö University Publications (Malmö University) · 2011
Typeother
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
FundersMinistry of Labour and Social Protection of the Russian FederationUniversiteit AntwerpenUppsala UniversitetUniversidade de LisboaUniversitetet i OsloNational and Kapodistrian University of AthensAalborg UniversitetMalmö HögskolaEuropean Science FoundationBaskent ÜniversitesiVetenskapsrådetUniversity of SurreySemmelweis EgyetemUniversiteit UtrechtEuropean CommissionLunds UniversitetMiddlesex UniversityEuropean Refugee FundNational Science FoundationScience Foundation IrelandUniwersytet Jagielloński Collegium MedicumUniversitetet i BergenRoyal Geographical SocietyUniversität BielefeldUniversity of OttawaUniverzita Karlova v PrazeQueen Mary University of London
KeywordsDiversity (politics)Variety (cybernetics)Multidisciplinary approachEthnic groupHigher education
DOInot available

Abstract

fetched live from OpenAlex

From the preface: "The Research Institute MIM, Malmö Institute for Studies of Migration, Diversity and Welfare, was established on 1st January 2007 and is now in its fifth year of operation. MIM is a higher education multidisciplinary research institute based at Malmö University and serves as an integrated meeting place and research arena for migration and ethnicity researchers from a variety of disciplines. We think that it is important to describe the kind of activities that we have been involved with in our first five years of existence and what we have managed to achieve during that time with the limited resources at our disposal. (...)"

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0010.000
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 head0.072
GPT teacher head0.274
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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