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Record W2118972297 · doi:10.18870/hlrc.v4i1.106

Engaging Disenfranchised Urban Youth in Science Learning

2014· article· en· W2118972297 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHigher Learning Research Communications · 2014
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsUniversity of Alberta
FundersUniversidad de Costa RicaUniversitat de València
KeywordsPedagogyPovertyClass (philosophy)PsychologyPerceptionSociologyWork (physics)AddictionPolitical science

Abstract

fetched live from OpenAlex

<p class="normal">This article shows selective international perspectives on how teachers, university professors, and researchers in teacher education programs strive to support school completion for disenfranchised students. The purpose of this work was to elicit the perceptions of science and humanities educators in Spain and in Alberta, Canada, regarding enhancing opportunities to retain disenfranchised students in secondary schools. Anecdotes, comments, and opinions from those educators support the basic contention in this article. This part of the research focuses on the science education of disenfranchised students and brings insight into the crucial role that higher education professionals play in educating science teachers in the appropriate pedagogy. For the purpose of this article, disenfranchised is defined as at-risk of leaving school prior to high school completion due to personal circumstances such as poverty, family difficulties, drug addiction, and violent communities.</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.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0050.002
Research integrity0.0000.003
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 head0.112
GPT teacher head0.399
Teacher spread0.286 · 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