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Record W7162012813 · doi:10.82308/2805

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

2012· dissertation· en· W7162012813 on OpenAlexaboutno aff
Mehrnoush Shafiei

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPrivate lifeCitizenshipGensGender identity

Abstract

fetched live from OpenAlex

Depuis la publication en 1979 d'images d'étudiants iraniens, en colère et les poings levés, attaquant l'ambassade américaine, la jeunesse iranienne est devenue un sujet captivant dans l'imaginaire et une source d'incertitude pour bon nombre de gens à travers le monde. Aujourd'hui, « les enfants de la révolution iranienne » sont assez âgés pour avoir leurs propres enfants. Par conséquent, un moyen unique et original d'étudier ce groupe est d'examiner sa transition de la jeunesse vers la parentalité. Cette étude se fera par le biais de conversations avec trois couples iraniens résidant à Montréal qui seront bientôt parents et qui tombent dans cette cohorte communément connue comme «le fruit de la révolution iranienne », en d'autres mots, ces jeunes qui ont vécu toute leur vie sous le régime postrévolutionnaire. Je regarderai la parentalité en tant que projection imaginaire et étudierai comment mes interlocuteurs envisagent de mener leurs nouvelles vies de parents. Je propose de regarder la parentalité, avec la société comme toile de fond, comme un cadre adéquat pour mieux saisir la jeunesse iranienne, sujet complexe et souvent insaisissable.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same topicIslamic Studies and HistoryFrench-language works237,207