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Record W4380669590 · doi:10.59817/cjes.v6i.233

In the Light of What We Know:

2015· article· en· W4380669590 on OpenAlexaff
Golam Rabbani

Bibliographic record

VenueCrossings A Journal of English Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsCarleton UniversityQueen's University
Fundersnot available
KeywordsScope (computer science)Interpretation (philosophy)Plot (graphics)Context (archaeology)EpistemologyNeed to knowComputer scienceHistoryPhilosophyMathematics

Abstract

fetched live from OpenAlex

It is not easy to define the boundary between knowing and knowledge. Being informed and being knowledgeable can be two different intellectual states. IKnowing history can lead to a partial understanding of the present until one can interpret the present through history. Knowledge is the conclusion that one reaches after knowing and interpreting. For a novelist, his or her plot should inform the historical context and provide the readers with the scope to interpret the present through the facts of the past. A successful novel triggers constant interpretations as well as makes the readers doubt their interpretations. Also, a successful novel knows the necessity of its time. Keeping all these aspects in mind, it seems appropriate to coin Zia Haider Rahman’s In the Light of What We Know as a novel of its time. However, it is problematic to say that the novel offers knowledge or the scope of interpretation for readers. A novel needs to manifest the triggering events in its plot that fetches diverse interpretations from different cultures and countries. Rahman’s novel seems to refer to a lot of intellectual works and historical facts, but it is not clear how the readers will interpret the events by connecting the references with the events of the fiction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

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

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 head0.079
GPT teacher head0.288
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

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Same venueCrossings A Journal of English StudiesSame topicIndian History and PhilosophyFrench-language works237,207