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Geopolitics of Assessment

2018· other· en· W2922832536 on OpenAlexaffabout
Liying Cheng

Bibliographic record

VenueThe TESOL Encyclopedia of English Language Teaching · 2018
Typeother
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeopoliticsTest of English as a Foreign LanguageLanguage assessmentContext (archaeology)Test (biology)Dimension (graph theory)Power (physics)Political scienceLiteracyLanguage proficiencySpace (punctuation)English languagePoliticsLinguisticsSociologyMathematics educationPedagogyPsychologyHistoryLaw

Abstract

fetched live from OpenAlex

English as an international language (EIL) refers to the use of English as a means by which people from different parts of the world communicate with each other. Geopolitics concerns political power within and across geographic space. Within this broadly defined EIL context, this entry frames the political power of assessment and addresses this power from two dimensions. The first dimension is the geopolitics of international language testing, which deals with the testing of proficiency in English by speakers of other languages whose purpose of taking the test is to pursue academic study in English‐speaking countries, such as the Test of English as a Foreign Language (TOEFL) and the International English Language Testing System (IELTS). The second dimension focuses on the testing of proficiency in English by speakers of other languages whose purpose is for schooling in English‐speaking countries, such as the Ontario Secondary School Literacy Test (OSSLT) in Canada and the No Child Left Behind (NCLB) policy in the United States.

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)0.011
metaresearch head score (Gemma)0.032
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 score0.021
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0070.024
Scholarly communication0.0160.012
Open science0.0010.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0170.002

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 head0.020
GPT teacher head0.410
Teacher spread0.390 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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Same venueThe TESOL Encyclopedia of English Language TeachingSame topicMultilingual Education and PolicyFrench-language works237,207