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Record W2325727860 · doi:10.12785/ijpi/010107

The Controversy over Huckleberry Finn

2013· article· en· W2325727860 on OpenAlexaff
Abdurrahman Ahmad Wahab

Bibliographic record

VenueInternational Journal of Pedagogical Innovations · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConstruct (python library)Race (biology)SociologyContext (archaeology)PoliticsMulticulturalismPoint (geometry)PedagogyEpistemologyGender studiesPolitical scienceHistoryLawComputer science

Abstract

fetched live from OpenAlex

In this article, I try to shed light on some of the arguments around the controversy over Mark Twain's Huckleberry Finn, and point to the suitability of such texts in the educational context of Iraq and the Kurdistan Region. Both the thematic features and the controversial nature of the text give people involved in the learning process opportunities to enrich cultural and educational experiences. Discussing the controversy around the novel in the Iraqi and Kurdish educational institutions is especially important. This is because examining the way race operates in the novel and discussing the issues that arouse by teaching such a text in a multicultural classroom provide learners the opportunity to identify with the experiences, critically analyze concepts and construct knew knowledge by relating to the individual and collective understandings. The implication of such analysis for the discussion of race in classrooms, as political as it is, also provides a pedagogical opportunity to talk about race and racism. Discussing the controversies around literary works like Huckleberry Finn also leads us to further explore the aims of education.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.132
GPT teacher head0.458
Teacher spread0.326 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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