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Record W2199323534 · doi:10.5296/ijl.v7i6.8372

A Discourse Study of the Speech “It Can Be Otherwise” by Harvard Professor and President Drew Faust

2015· article· en· W2199323534 on OpenAlexfundno aff
Turki Ahmad Ali Bani-Khaled

Bibliographic record

VenueInternational Journal of Linguistics · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
FundersUniversity of AlbertaUniversity of VirginiaNorth Dakota State UniversityYale University
KeywordsFAUSTNarrativeLinguisticsInjusticePsychologySociologyLiteraturePhilosophyArtSocial psychology

Abstract

fetched live from OpenAlex

<p class="1"><span lang="X-NONE">Th</span><span lang="X-NONE">is paper is<strong> </strong>a qualitative<strong> </strong>discourse study of the speech “It Can Be Otherwise” by Harvard Professor and President Drew Faust. The speech was delivered on May 30, 2014 at Cambridge, Massachusetts. The language and content of the speech are analyzed as a genre including macro and micro level units such as moves, communicative functions and notions. The linguistic lexical and syntactic realizations are also considered. The findings revealed that<strong> </strong>a number of features characterized this speech. These include the use of narrative style under the effect of the specialty of the author, i.e. history. The themes of women’s empowerment, injustice, and education are well served in the speech revealing the philosophical stance of the speaker. </span></p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.347
Teacher spread0.294 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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