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Record W2292497850

The Pipeline: A Dangerous Education

2016· article· en· W2292497850 on OpenAlexvenueno aff
Toria Messinger

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Literature and Humor Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPipeline (software)Mathematics educationComputer scienceSociologyPsychologyEpistemologyPhilosophyProgramming language
DOInot available

Abstract

fetched live from OpenAlex

From both a societal and institutional level, the school-to-prison pipeline continues to be an issue confronting historically marginalized youth. The harsh realities of discrimination and the lack of funding supporting equal education opportunities are directly connected to the perpetuation of stigmatization and overrepresentation in the criminal justice system. By evaluating the pipeline from both a structural and experiential level, it is possible to identify key target areas for future policy changes and theoretical evaluations. Looking at the current structures underpinned by social and legal systems, countless voices have argued that a shift must occur, and it must be sweeping in nature. If future generations of youth have any hope of escaping the subjugations currently embedded in the pipeline, greater attention must be given toward implementing rehabilitative justice instead of retributive measures and the ingrained trends of discrimination must be addressed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.202
Teacher spread0.190 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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