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Record W7161960855 · doi:10.82308/13099

Social and learning context profiles of, barriers faced by and proposed solutions for at-risk emerging adults in Montreal adult education centres

2018· dissertation· en· W7161960855 on OpenAlexaboutno aff
Rawda Harb

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsnot available
Fundersnot available
KeywordsAdult educationWitnessContext (archaeology)Scope (computer science)Adult LearningHonourLifelong learningInformal learning

Abstract

fetched live from OpenAlex

Using Arnett's (2000) coined term "emerging adults" to refer to youths between the ages of 17 and 25 years old, this thesis aims to honour the perspectives of emerging adults attending adult education centres in Montreal, document a glimpse of their successes and obstacles, and be witness to their journey. This thesis constructs and discusses a social and learning context profile of emerging adults that is inclusive of their identities, their living and learning contexts and the obstacles they are facing and proposes possible actions to mitigate those issues. To this end, it leverages a literary review, the author's professional experiences as an adult educator, and data from an anonymous survey of 240 students fitting this profile. An additional summary of feedback provided by adult learners who identified as 25+ years old is attached as an appendix – though they fell outside the scope of this research, they nonetheless constitute an important part of the adult education population, and their stories should be heard.

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 score0.297
Threshold uncertainty score0.971

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 studies0.0010.000
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 head0.008
GPT teacher head0.304
Teacher spread0.296 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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