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Record W2467576357 · doi:10.29173/css152

Social Studies and Service-learning: The Aleph of Democratic Citizenship?

2004· article· en· W2467576357 on OpenAlexvenueaboutno aff
Andrew Foran

Bibliographic record

VenueCanadian Social Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsSocial studiesCurriculumActive citizenshipSociologyCitizenshipService-learningDemocracyExperiential learningPublic relationsPedagogyMeaning (existential)Promotion (chess)Identity (music)Political sciencePsychologyLaw

Abstract

fetched live from OpenAlex

Striking at the heart of social studies is an educational practice that restricts citizenship involvement in the promotion of a democratic society. Alberta Learning (2000) defines Social studies as a school subject that assists students to acquire [the] basic knowledge, skills and positive attitudes needed to be responsible citizens and contributing members of society (p. 1). Important to social studies education are the efforts students must make to bring new meaning to citizenship and community as a part of their national identity. Can social studies contribute to developing students' identity as citizens and promote an active and responsible role in Canadian society? Can education balance active involvement, and student responsibility, with the demands of curriculum, evaluation, and student uniqueness? One solution to the questions posed here is for a reform that integrates the experiential that is, the active aspect of citizenship-with the social studies curriculum through service-learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.193
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0190.115
Scholarly communication0.0210.020
Open science0.0010.008
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0050.000

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 head0.211
GPT teacher head0.412
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2004
Admission routes2
Has abstractyes

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