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Record W2944311694

Permission to Dissent: A research proposal on urban youth inciting social change through personal storytelling

2018· article· en· W2944311694 on OpenAlexaffabout
Robert Pozeg

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDissentStorytellingPermissionPublic relationsSociologyEconomic JusticeMedia studiesPolitical scienceNarrativeLawArt
DOInot available

Abstract

fetched live from OpenAlex

Permission to Dissent will be about finding within ourselves the need for something more from our daily lives and from society at large. It is about recognizing that we are all vital characters in the storied lives we live and the actions we take over the roles we play. Permission to Dissent is a research proposal on the story of urban youth in Montreal who choose to play roles as agents of social change in their communities. Their stories will be provocative imperatives to disrupt taken-for-granted societal patterns that keep people struggling. Using their lived experiences as social analysis, they will expose systems and practices of inequality, and incite alternative stories of fairness and justice where people can thrive instead of survive. Permission to Dissent will also be about my story and the different characters I have played through my experiences that shape my perspective and inform this research design. It will be an example of disruptive research that uses creative, collaborative storytelling with young people to share a much-needed message of possibility. These stories will resonate for youth, professionals working with youth, and communities of people who feel like they matter.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.241
GPT teacher head0.415
Teacher spread0.175 · 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.

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
Published2018
Admission routes2
Has abstractyes

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