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"La Fortuna, por siempre y para siempre”, a cross-generational and participatory documentary

2010· article· en· W2014961343 on OpenAlexvenueno aff
Ana Mampaso

Bibliographic record

VenueEncounters in Theory and History of Education · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and sustainability education
Canadian institutionsnot available
Fundersnot available
KeywordsCitizen journalismHumanitiesSociologyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

In this paper we reflect about the participatory video methodology, use video creatively in group development work, through the creation process of “La Fortuna por siempre y para siempre”documentary; a personal point of view from twenty eight children, six youngsters and nine adults about life and living together in the neighborhood “La Fortuna”. Photo camaras, vídeo camaras, words, feellings and creativity are the tolls they used. The documentary is part of a communication and educational project that invites the participants to use video and photographic language to reflect on their identity and the world where they live. Most local people live in difficult situation and the neighborhood have a very high ratio of inmigrants. The documentary project promotes the active participation and the social integration of people and collectives from different ages, social conditions, origins and cultures. It was organized by the Intercultural and Emigration Program of La Fortuna Local Government Cabinet depended on Leganés City Council.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.012
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.277
Teacher spread0.268 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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