MétaCan
Menu
Back to cohort

GeoLatinas Mentoring Team: Breaking Barriers & Building Futures through Mentoring Initiatives in the Latinx Community

2025· article· W4417435603 on OpenAlexaff
Carolina Hurtado‐Pulido, Daniela Navarro-Pérez, Maria P. Velásquez-García, Gabriela González Arismendi, Rocio P Caballero-Gill

Bibliographic record

Venuenot available
Typearticle
Language
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOutreachFutures contractProfessional developmentProfessional associationPoverty

Abstract

fetched live from OpenAlex

GeoLatinas, a not-for-profit, international organization founded in 2019, promotes and supports Latina women in Earth and Planetary Sciences. Our organization has team-led initiatives focused on mentoring, education, and outreach for professional and personal development. It promotes sustainable training, and peers inspire individuals towards career advancement. GeoLatinas volunteers lead these efforts within the Leadership Council and Local Teams through co-leadership and peer mentoring practices, offering all members the opportunity to join existing or create new initiatives. Launched in 2020, the GeoLatinas Mentoring Team started with a one-to-one mentoring strategy. During this period, the team facilitated 50 mentor-mentee pairs matched according to the mentees’ aims and mentors’ intentions. Through this program, we retrieved insightful information that led us to understand our community’s needs and tailor our approach accordingly. Our priority was to build a safe space that supports our members and addresses the existing Latinx mentoring experiences, challenges, and opportunities literature gap. Hence, “GeoLatinas mentoring program: the process of creating a safe space to grow professionally by co-leadership” enclosed the results and lessons learned from this mentoring experience. This book’s chapter provides relevant and updated information on the status quo of Latinx in the geoscience field (Navarro–Pérez et al., 2025). More recently, between 2024 and 2025, we joined the Mentoring365 platform sponsored by AGU. Within this platform, we designed four different mentoring circles in Spanish, each lasting between two and six weeks. These sharing spaces boosted our community’s knowledge about mentoring, scientific writing and presentations, and the use of the platform itself. The platform closed permanently this year. Thus, our next steps include creating similar virtual places to discuss outstanding key topics related to authorship rights, life in academia as an immigrant, and mentoring at different career stages. This will benefit from the use of other free-sourced platforms (e.g., Slack) for accessibility of our international community. Thus, GeoLatinas remains committed to supporting and empowering Latinx communities in geosciences in response to recent challenging events. Launched in 2020, the GeoLatinas Mentoring Team started with a one-to-one mentoring strategy. During this period, the team facilitated 50 mentor-mentee pairs matched according to the mentees’ aims and mentors’ intentions. Through this program, we retrieved insightful information that led us to understand our community’s needs and tailor our approach accordingly. Our priority was to build a safe space that supports our members and addresses the existing Latinx mentoring experiences, challenges, and opportunities literature gap. Hence, “GeoLatinas mentoring program: the process of creating a safe space to grow professionally by co-leadership” enclosed the results and lessons learned from this mentoring experience. This book’s chapter provides relevant and updated information on the status quo of Latinx in the geoscience field (Navarro–Pérez et al., 2025). More recently, between 2024 and 2025, we joined the Mentoring365 platform sponsored by AGU. Within this platform, we designed four different mentoring circles in Spanish, each lasting between two and six weeks. These sharing spaces boosted our community’s knowledge about mentoring, scientific writing and presentations, and the use of the platform itself. The platform closed permanently this year. Thus, our next steps include creating similar virtual places to discuss outstanding key topics related to authorship rights, life in academia as an immigrant, and mentoring at different career stages. This will benefit from the use of other free-sourced platforms (e.g., Slack) for accessibility of our international community. Thus, GeoLatinas remains committed to supporting and empowering Latinx communities in geosciences in response to recent challenging events.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.382
Teacher spread0.328 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicMentoring and Academic DevelopmentFrench-language works237,207