MétaCan
Menu
Back to cohort
Record W7055649721

Conceiving Iran's future: youth and the transition to parenthood

2012· dissertation· en· W7055649721 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsTransition (genetics)ConversationInstitutionPoint (geometry)CohortTypology
DOInot available

Abstract

fetched live from OpenAlex

Since the publication of images of Iranian students' raised angry fists storming the American embassy in 1979, the idea of Iranian youth has captured the world's imagination and has been a source of puzzlement. The children of the Iranian revolution are today old enough to have their own children. Thus, one unique and original window from which to study Iranian youth is to investigate as they undergo the significant transition from youth to parenthood. This study will be in conversation with three expecting Montreal-based Iranian couples who fall in the cohort known as "the fruit of Iran's revolution;" in other words, youth that have lived entirely under the post revolutionary regime. I will examine parenting as an imagined projection and investigate ways in which my interlocutors envision their life as a first time parent. I suggest that the institution of parenting, with its focal point in society, presents a suitable framework for disentangling the complex and elusive understanding of Iranian youth.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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 designOther design
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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)Same topicMagnetic Field Sensors TechniquesFrench-language works237,207