MétaCan
Menu
Back to cohort
Record W7028634406

Game changer: encouraging cross-cultural collaboration through fun interactive, interpretive experience in the Discovery Forest, Kenora, Ontario

2014· dissertation· en· W7028634406 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Qualitative researchFocus groupQualitative propertyData collectionQualitative analysisSemi-structured interview
DOInot available

Abstract

fetched live from OpenAlex

This research was undertaken as part of the Common Ground Research Forum (CGRF) in Kenora, Ontario. The CGRF was established to better understand collaboration in the context of cross-cultural relationships. The purpose of this research was to design a prototype of a fun, interactive interpretive experience that has the potential to build cross-cultural relationships among youth. The study employed a qualitative approach by utilising a combination of semi-structured individual and group interviews with Kenora residents and analysis of existing online platforms. Utilizing the data collected during the two fieldwork phases a prototype for the Lake of the Woods Discovery Centre (LWDC) was designed. Feedback from participants suggested that the prototype would be a good tool for improving cross-cultural relationships among Kenora youth in the long term. The prototype was submitted to the LWDC for implementation in collaboration with local high-schools.

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)0.000
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 score0.838
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.005
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 head0.014
GPT teacher head0.261
Teacher spread0.246 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicImage Processing and 3D ReconstructionFrench-language works237,207